Alternatives to Hunyuan T1
Compare Hunyuan T1 alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Hunyuan T1 in 2026. Compare features, ratings, user reviews, pricing, and more from Hunyuan T1 competitors and alternatives in order to make an informed decision for your business.
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Hunyuan-TurboS
Tencent
Tencent's Hunyuan-TurboS is a next-generation AI model designed to offer rapid responses and outstanding performance in various domains such as knowledge, mathematics, and creative tasks. Unlike previous models that require "slow thinking," Hunyuan-TurboS enhances response speed, doubling word output speed and reducing first-word latency by 44%. Through innovative architecture, it provides superior performance while lowering deployment costs. This model combines fast thinking (intuition-based responses) with slow thinking (logical analysis), ensuring quicker, more accurate solutions across diverse scenarios. Hunyuan-TurboS excels in benchmarks, competing with leading models like GPT-4 and DeepSeek V3, making it a breakthrough in AI-driven performance. -
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HunyuanOCR
Tencent
Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data. -
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Tencent Yuanbao
Tencent
Tencent Yuanbao is an AI-powered assistant that has quickly become popular in China, leveraging advanced large language models, including Tencent's proprietary Hunyuan model, and integrating with DeepSeek. The application excels in areas like Chinese language processing, logical reasoning, and efficient task execution. Yuanbao's popularity has surged in recent months, even surpassing competitors such as DeepSeek to top the Apple App Store download charts in China. A key driver of its growth is its deep integration into the Tencent ecosystem, particularly within WeChat, further enhancing its accessibility and functionality. This rapid rise highlights Tencent's growing ambition in the competitive AI assistant market. -
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Hunyuan-Vision-1.5
Tencent
HunyuanVision is a cutting-edge vision-language model developed by Tencent’s Hunyuan team. It uses a mamba-transformer hybrid architecture to deliver strong performance and efficient inference in multimodal reasoning tasks. The version Hunyuan-Vision-1.5 is designed for “thinking on images,” meaning it not only understands vision+language content, but can perform deeper reasoning that involves manipulating or reflecting on image inputs, such as cropping, zooming, pointing, box drawing, or drawing on the image to acquire additional knowledge. It supports a variety of vision tasks (image + video recognition, OCR, diagram understanding), visual reasoning, and even 3D spatial comprehension, all in a unified multilingual framework. The model is built to work seamlessly across languages and tasks and is intended to be open sourced (including checkpoints, technical report, inference support) to encourage the community to experiment and adopt.Starting Price: Free -
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Hunyuan3D 2.0
Tencent
Tencent Hunyuan 3D is an AI-powered platform developed by Tencent that specializes in generating 3D content. Leveraging advanced artificial intelligence technology, the platform allows users to create realistic and dynamic 3D models and animations efficiently. It is designed for industries such as gaming, virtual reality, and digital media, offering a streamlined solution for high-quality 3D asset creation. -
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HunyuanWorld
Tencent
HunyuanWorld-1.0 is an open source AI framework and generative model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D worlds from text prompts or image inputs by combining the strengths of 2D and 3D generation techniques into a unified pipeline. At its core, the project features a semantically layered 3D mesh representation that uses 360° panoramic world proxies to decompose and reconstruct scenes with geometric consistency and semantic awareness, enabling the creation of diverse, coherent environments that can be navigated and interacted with. Unlike traditional 3D generation methods that struggle with either limited diversity or inefficient data representations, HunyuanWorld-1.0 integrates panoramic proxy generation, hierarchical 3D reconstruction, and semantic layering to balance high visual quality and structural integrity while enabling exportable meshes compatible with common graphics workflows.Starting Price: Free -
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HunyuanVideo
Tencent
HunyuanVideo is an advanced AI-powered video generation model developed by Tencent, designed to seamlessly blend virtual and real elements, offering limitless creative possibilities. It delivers cinematic-quality videos with natural movements and precise expressions, capable of transitioning effortlessly between realistic and virtual styles. This technology overcomes the constraints of short dynamic images by presenting complete, fluid actions and rich semantic content, making it ideal for applications in advertising, film production, and other commercial industries. -
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HunyuanCustom
Tencent
HunyuanCustom is a multi-modal customized video generation framework that emphasizes subject consistency while supporting image, audio, video, and text conditions. Built upon HunyuanVideo, it introduces a text-image fusion module based on LLaVA for enhanced multi-modal understanding, along with an image ID enhancement module that leverages temporal concatenation to reinforce identity features across frames. To enable audio- and video-conditioned generation, it further proposes modality-specific condition injection mechanisms, an AudioNet module that achieves hierarchical alignment via spatial cross-attention, and a video-driven injection module that integrates latent-compressed conditional video through a patchify-based feature-alignment network. Extensive experiments on single- and multi-subject scenarios demonstrate that HunyuanCustom significantly outperforms state-of-the-art open and closed source methods in terms of ID consistency, realism, and text-video alignment. -
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DeepSeek R1
DeepSeek
DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.Starting Price: Free -
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Hunyuan Motion 1.0
Tencent Hunyuan
Hunyuan Motion (also known as HY-Motion 1.0) is a state-of-the-art text-to-3D motion generation AI model that uses a billion-parameter Diffusion Transformer with flow matching to turn natural language prompts into high-quality, skeleton-based 3D character animation in seconds. It understands descriptive text in English and Chinese and produces smooth, physically plausible motion sequences that integrate seamlessly into standard 3D animation pipelines by exporting to skeleton formats such as SMPL or SMPLH and common formats like FBX or BVH for use in Blender, Unity, Unreal Engine, Maya, and other tools. The model’s three-stage training pipeline (large-scale pre-training on thousands of hours of motion data, fine-tuning on curated sequences, and reinforcement learning from human feedback) enhances its ability to follow complex instructions and generate realistic, temporally coherent motion. -
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Tencent Cloud TI Platform
Tencent
Tencent Cloud TI Platform is a one-stop machine learning service platform designed for AI engineers. It empowers AI development throughout the entire process from data preprocessing to model building, model training, model evaluation, and model service. Preconfigured with diverse algorithm components, it supports multiple algorithm frameworks to adapt to different AI use cases. Tencent Cloud TI Platform delivers a one-stop machine learning experience that covers a complete and closed-loop workflow from data preprocessing to model building, model training, and model evaluation. With Tencent Cloud TI Platform, even AI beginners can have their models constructed automatically, making it much easier to complete the entire training process. Tencent Cloud TI Platform's auto-tuning tool can also further enhance the efficiency of parameter tuning. Tencent Cloud TI Platform allows CPU/GPU resources to elastically respond to different computing power needs with flexible billing modes. -
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Tencent EdgeOne
Tencent
Tencent EdgeOne is a powerful CDN (Content Delivery Network) and cloud security platform designed to accelerate your web applications while providing comprehensive protection against cyber threats. As a top-tier China CDN provider, Tencent EdgeOne ensures fast and reliable content delivery across China and global markets. Key Features: - CDN Acceleration: Fast content delivery with optimized routing for superior user experience. - DDoS Protection: Advanced mitigation to safeguard your infrastructure from disruptive attacks. - WAF (Web Application Firewall): Robust web protection against OWASP top vulnerabilities, SQL injection, XSS, and more. - China CDN: Optimized network nodes across China for low latency and high availability in the Chinese market. Tencent EdgeOne combines cutting-edge technology with Tencent’s extensive experience in network infrastructure, making it the preferred choice for businesses targeting China and global audiences.Starting Price: $1.40 per month -
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Zhuque AI Detection Assistant
Tencent
Tencent’s Zhuque AI text detection assistant uses multiple advanced AI models trained on vast datasets to recognize writing patterns from both humans and AI. It is highly effective in detecting AI-generated text in English and performs exceptionally well with Chinese content. In addition to text, Zhuque offers an image and video detection tool that determines if media is fully AI-generated or human-created. This detector is trained on millions of images and videos spanning photography, digital art, paintings, posters, movies, and short videos. It currently supports detection for outputs from major AI generation models in the market. The system continues to expand its capabilities to cover more AI models over time.Starting Price: $0 -
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Open R1
Open R1
Open R1 is a community-driven, open-source initiative aimed at replicating the advanced AI capabilities of DeepSeek-R1 through transparent methodologies. You can try Open R1 AI model or DeepSeek R1 free online chat on Open R1. The project offers a comprehensive implementation of DeepSeek-R1's reasoning-optimized training pipeline, including tools for GRPO training, SFT fine-tuning, and synthetic data generation, all under the MIT license. While the original training data remains proprietary, Open R1 provides the complete toolchain for users to develop and fine-tune their own models.Starting Price: Free -
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Tencent Cloud EKS
Tencent
EKS is community-driven and supports the latest Kubernetes version as well as native Kubernetes cluster management. It is ready-to-use in the form of a plugin to support Tencent Cloud products for storage, networking, load balancing, and more. EKS is built on Tencent Cloud's well-developed virtualization technology and network architecture, providing 99.95% service availability. Tencent Cloud ensures the virtual and network isolation of EKS clusters between users. You can configure network policies for specific products using security groups, network ACL, etc. The serverless framework of EKS ensures higher resource utilization and lower OPS costs. Flexible and efficient auto scaling ensures that EKS only consumes the amount of resources required by the current load. EKS provides solutions that meet different business needs and can be integrated with most Tencent Cloud services, such as CBS, CFS, COS, TencentDB products, VPC and more. -
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DeepSeek R2
DeepSeek
DeepSeek R2 is the anticipated successor to DeepSeek R1, a groundbreaking AI reasoning model launched in January 2025 by the Chinese AI startup DeepSeek. Building on R1’s success, which disrupted the AI industry with its cost-effective performance rivaling top-tier models like OpenAI’s o1, R2 promises a quantum leap in capabilities. It is expected to deliver exceptional speed and human-like reasoning, excelling in complex tasks such as advanced coding and high-level mathematical problem-solving. Leveraging DeepSeek’s innovative Mixture-of-Experts architecture and efficient training methods, R2 aims to outperform its predecessor while maintaining a low computational footprint, potentially expanding its reasoning abilities to languages beyond English.Starting Price: Free -
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By visualizing high volumes of abstract security data and aggregating the big data from Tencent Cloud security products, SOC provides visual representation services and instant threat alarms in three dimensions: security situation overview, host security situation and network security situation. Based on Tencent's big security data and wealth of experience in security, SOC continuously monitors your security conditions and provides real-time alarms for security events to alert you of possible security risks. SOC provides you with intelligent security ratings based on your multi-dimensional security data (such as host and network security data), which enable you to intuitively understand your security situation. In addition, utilizing Tencent's big security data, SOC provides insights into your Internet security situation to help you proactively uncover security risks across the Internet.
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Tencent Cloud supports automatic online CSR generation and can automatically verify the ownership of domain names hosted by Tencent Cloud DNS or DNSPod, completely automating application review and the issuance of certificates. Certificates issued by any CAs can be uploaded and managed on the console. You can easily monitor the validity period of each certificate in a centralized site. Tencent Cloud supports online CSR generation with private key/passphrase. The passphrase is stored within the certificate for guaranteed data security. SSL supports the rapid deployment of digital certificates in Tencent Cloud resources. Currently, certificates can be quickly deployed to CLB and CDN for data security. Data transfer between browsers/apps and servers are encrypted for added security. Symantec root certificate supports all browsers and mobile devices. HTTPS helps improve the search ranking and credibility of your website.
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DeepScaleR
Agentica Project
DeepScaleR is a 1.5-billion-parameter language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1.5B using distributed reinforcement learning and a novel iterative context-lengthening strategy that gradually increases its context window from 8K to 24K tokens during training. It was trained on ~40,000 carefully curated mathematical problems drawn from competition-level datasets like AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. DeepScaleR achieves 43.1% accuracy on AIME 2024, a roughly 14.3 percentage point boost over the base model, and surpasses the performance of the proprietary O1-Preview model despite its much smaller size. It also posts strong results on a suite of math benchmarks (e.g., MATH-500, AMC 2023, Minerva Math, OlympiadBench), demonstrating that small, efficient models tuned with RL can match or exceed larger baselines on reasoning tasks.Starting Price: Free -
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DeepSeek-V3.2
DeepSeek
DeepSeek-V3.2 is a next-generation open large language model designed for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that dramatically reduces computation while preserving performance. The model is trained with a scalable reinforcement learning framework, allowing it to achieve results competitive with GPT-5 and even surpass it in its Speciale variant. DeepSeek-V3.2 also includes a large-scale agent task synthesis pipeline that generates structured reasoning and tool-use demonstrations for post-training. The model features an updated chat template with new tool-calling logic and the optional developer role for agent workflows. With gold-medal performance in the IMO and IOI 2025 competitions, DeepSeek-V3.2 demonstrates elite reasoning capabilities for both research and applied AI scenarios.Starting Price: Free -
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DeepSeek-V4
DeepSeek
DeepSeek-V4 is a next-generation open large language model built for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that significantly reduces computational overhead while maintaining strong performance. The model is trained using a scalable reinforcement learning framework to achieve results competitive with leading frontier models. It also incorporates a large-scale agent task synthesis pipeline to generate structured reasoning and tool-use demonstrations during post-training. An updated chat template includes enhanced tool-calling logic and an optional developer role to support agent workflows. DeepSeek-V4 delivers elite reasoning performance across both research and applied AI use cases.Starting Price: Free -
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DeepSeek-V2
DeepSeek
DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.Starting Price: Free -
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TencentDB
Tencent
TencentDB for MySQL makes it easy for you to deploy and use MySQL database, one of the world's most popular open source relational database, in the cloud. TencentDB for MySQL is cost-efficient and flexible; it only takes minutes to deploy a scalable MySQL database instance and you can resize your hardware capacity without shutting down your machines. It comes with a full set of streamlined database OPS solutions, including backups, rollbacks, monitoring, fast scaling and data transfer, freeing you up to focus your energies on developing your business. You can launch and connect to a production-ready MySQL database in minutes with just a few clicks in the TencentDB for MySQL console. TencentDB for MySQL comes with preset parameters and settings tailored for your server, and you can further refine and customize your MySQL database settings via the database parameter group. -
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Tencent Cloud API Gateway
Tencent
API Gateway can be configured in the console or through Tencent Cloud APIs so that you do not need to build additional devices for deployment. It can be quickly constructed as needed using the documentation provided by Tencent Cloud. Tencent Cloud's API Gateway features visual monitoring and a rich set of OPS capabilities such as resource management, tenant isolation, and access control, freeing you from heavy OPS workload. API Gateway can be deployed in clusters so that failover can be quickly performed for faulty gateway nodes to guarantee high service reliability. API Gateway is priced competitively and billed based on the number of API calls made and the traffic generated. -
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Tencent Cloud OCR
Tencent
Tencent Cloud Optical Character Recognition (OCR) can automatically locate and recognize text in images. It features robustness and an average accuracy rate of above 95% for printed text and 90% for handwritten text. Developed independently by the Tencent YouTu Lab, OCR covers all core algorithms for identity document analysis and recognition. It supports both landscape and portrait modes, and can be applied in scenarios with perspective distortion, irregular illumination, partial occlusion and more. OCR not only provides developers with a full range of APIs that can be called directly, but also SDKs that are highly compatible and easy to use.It can recognize Chinese text, English text, Chinese/English text, numbers, and special symbols with higher accuracy. It can recognize complex text at higher accuracy and recall rates, making it suitable for scenarios with a large amount of text, long numeric strings, small font, blurry or skewed text, etc. -
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HunyuanVideo-Avatar
Tencent-Hunyuan
HunyuanVideo‑Avatar supports animating any input avatar images to high‑dynamic, emotion‑controllable videos using simple audio conditions. It is a multimodal diffusion transformer (MM‑DiT)‑based model capable of generating dynamic, emotion‑controllable, multi‑character dialogue videos. It accepts multi‑style avatar inputs, photorealistic, cartoon, 3D‑rendered, anthropomorphic, at arbitrary scales from portrait to full body. Provides a character image injection module that ensures strong character consistency while enabling dynamic motion; an Audio Emotion Module (AEM) that extracts emotional cues from a reference image to enable fine‑grained emotion control over generated video; and a Face‑Aware Audio Adapter (FAA) that isolates audio influence to specific face regions via latent‑level masking, supporting independent audio‑driven animation in multi‑character scenarios.Starting Price: Free -
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ERNIE X1 Turbo
Baidu
ERNIE X1 Turbo, developed by Baidu, is an advanced deep reasoning AI model introduced at the Baidu Create 2025 conference. Designed to handle complex multi-step tasks such as problem-solving, literary creation, and code generation, this model outperforms competitors like DeepSeek R1 in terms of reasoning abilities. With a focus on multimodal capabilities, ERNIE X1 Turbo supports text, audio, and image processing, making it an incredibly versatile AI solution. Despite its cutting-edge technology, it is priced at just a fraction of the cost of other top-tier models, offering a high-value solution for businesses and developers.Starting Price: $0.14 per 1M tokens -
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Phi-4-reasoning
Microsoft
Phi-4-reasoning is a 14-billion parameter transformer-based language model optimized for complex reasoning tasks, including math, coding, algorithmic problem solving, and planning. Trained via supervised fine-tuning of Phi-4 on carefully curated "teachable" prompts and reasoning demonstrations generated using o3-mini, it generates detailed reasoning chains that effectively leverage inference-time compute. Phi-4-reasoning incorporates outcome-based reinforcement learning to produce longer reasoning traces. It outperforms significantly larger open-weight models such as DeepSeek-R1-Distill-Llama-70B and approaches the performance levels of the full DeepSeek-R1 model across a wide range of reasoning tasks. Phi-4-reasoning is designed for environments with constrained computing or latency. Fine-tuned with synthetic data generated by DeepSeek-R1, it provides high-quality, step-by-step problem solving. -
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Tencent Cloud Face Recognition
Tencent
Based on the 3rd generation Tencent YouTu Grandmother Model, Face Recognition was optimized by various training methods such as metric learning, transfer learning, and multi-task learning. Its customized fine-tuning or distilling models can meet performance and latency requirements in different use cases. Face Recognition was tested by Tencent products' massive user base and complex use cases and is proven to be highly reliable and robust with an over 99.9% availability rate. Face Recognition features high concurrence, high throughput, and low latency. It processes millions of faces in just a few hundred milliseconds, satisfying your real-time usage demands. Face Recognition is used in a wide variety of use cases, such as online photo albums, smart retail, security surveillance, face recognition access control and attendance, face recognition login, face effects, online proctoring and more. -
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Gemini 3 Deep Think
Google
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows. -
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Claude Sonnet 3.7
Anthropic
Claude Sonnet 3.7, developed by Anthropic, is a cutting-edge AI model that combines rapid response with deep reflective reasoning. This innovative model allows users to toggle between quick, efficient responses and more thoughtful, reflective answers, making it ideal for complex problem-solving. By allowing Claude to self-reflect before answering, it excels at tasks that require high-level reasoning and nuanced understanding. With its ability to engage in deeper thought processes, Claude Sonnet 3.7 enhances tasks such as coding, natural language processing, and critical thinking applications. Available across various platforms, it offers a powerful tool for professionals and organizations seeking a high-performance, adaptable AI.Starting Price: Free -
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Tencent Cloud
Tencent
Tencent Cloud is a secure, reliable and high-performance cloud compute service provided by Tencent. Tencent is now the largest Internet company in China, and even Asia. It's providing services for hundreds of millions of people via its flagship products like QQ and WeChat. Cloud Virtual Machine (CVM) provides safe and reliable elastic computing services. You can expand or reduce computing resources in real time, adapt to changing business needs, and only need to charge based on the resources actually used. Using CVM can greatly reduce your software and hardware procurement costs and simplify IT operation and maintenance. Cloud databases provide enterprises with complete relational databases, non-relational databases, analytical databases and database ecological tools. -
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Serverless Application Center provides a rich set of application components for building serverless applications in various forms. You can create, deploy, and modify Tencent Cloud resources such as SCF, API Gateway, COS, and TencentDB by simply referencing specific components with a few lines of code. This saves you time and effort from manually activating and managing multiple services in multiple consoles. In addition, Serverless Application Center supports over 1,000 use cases and plugins, freeing you from infrastructure management and maintenance and enabling you to deliver serverless applications with ease. Tencent Cloud collaborates with Serverless Application Center, the world's most popular serverless development platform, to create one-stop, configuration-free solutions ranging from initialization, coding, debugging, resource configuration, deployment, and release to service monitoring, alarming, and troubleshooting.
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Tencent Cloud CVM Dedicated Host
Tencent
Tencent Cloud CVM Dedicated Host (CDH) provides you with exclusive physical server resources that meet the requirements for resource exclusivity, physical isolation, security and compliance. CDH is equipped with Tencent Cloud's virtualized system. Once purchased, CDH can help you flexibly create and manage multiple Cloud Virtual Machine (CVM) instances with custom specs and plan the use of physical resources. CDH provides physical machine-grade exclusive resources which can be independently planned for use to avoid competition from resources of other tenants. CDH can be purchased in just minutes through Tencent Cloud Console or API. CVM instances can be allocated to the specified CDH and independently planned for the use of host resources. The instance specs support customization, allowing for flexible configuration and breaking the limitations of server specs to ensure business performance while making full use of physical server resources. -
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GLM-4.7-FlashX
Z.ai
GLM-4.7 FlashX is a lightweight, high-speed version of the GLM-4.7 large language model created by Z.ai that balances efficiency and performance for real-time AI tasks across English and Chinese while offering the core capabilities of the broader GLM-4.7 family in a more resource-friendly package. It is positioned alongside GLM-4.7 and GLM-4.7 Flash, delivering optimized agentic coding and general language understanding with faster response times and lower resource needs, making it suitable for applications that require rapid inference without heavy infrastructure. As part of the GLM-4.7 model series, it inherits the model’s strengths in programming, multi-step reasoning, and robust conversational understanding, and it supports long contexts for complex tasks while remaining lightweight enough for deployment with constrained compute budgets.Starting Price: $0.07 per 1M tokens -
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Tencent Instant Messaging
Tencent
IM provides various social networking solutions such as the one-to-one chat, group chat, and chat rooms. It supports text, emojis, location markers, images, voice messages and short video messages. Custom features such as red packets, read receipts, auto delete after reading, and likes are also supported. IM can be implemented in a few minutes with TUIKit，also provides SDKs for Android, iOS, web, WeChat mini programs, PC, Mac, etc. It is also integrated with Tencent Real-Time Communication (TRTC), Interactive Live Video Broadcasting (ILVB), and Mini Program LVB to provide you with one-stop solutions. Tencent was the first company to offer a WeChat Mini Program IM service. Tencent also offers a comprehensive WeChat Mini Program Audio-Video solution, which integrates multiple features such as IM, TRTC, LVB, and VOD, for a one-stop Mini Program solution. -
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DeepSeek-V3
DeepSeek
DeepSeek-V3 is a state-of-the-art AI model designed to deliver unparalleled performance in natural language understanding, advanced reasoning, and decision-making tasks. Leveraging next-generation neural architectures, it integrates extensive datasets and fine-tuned algorithms to tackle complex challenges across diverse domains such as research, development, business intelligence, and automation. With a focus on scalability and efficiency, DeepSeek-V3 provides developers and enterprises with cutting-edge tools to accelerate innovation and achieve transformative outcomes.Starting Price: Free -
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Tencent Kubernetes Engine
Tencent
TKE is fully compatible with the entire range of Kubernetes capabilities and has been adapted to Tencent Cloud's fundamental IaaS capabilities such as CVM and CBS. In addition, Tencent Cloud’s Kubernetes-based cloud products such as CBS and CLB support one-click deployment to container clusters for a variety of open source applications, greatly improving deployment efficiency. Thanks to TKE, you can simplify the management of large-scale clusters and management and OPS of distributed applications without having to use cluster management software or design fault-tolerant cluster architecture. Simply launch TKE and specify the tasks you want to run, and then TKE will take care of all of the cluster management tasks, allowing you to focus on developing Dockerized applications. -
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DeepSeek-V3.1-Terminus
DeepSeek
DeepSeek has released DeepSeek-V3.1-Terminus, which enhances the V3.1 architecture by incorporating user feedback to improve output stability, consistency, and agent performance. It notably reduces instances of mixed Chinese/English character output and unintended garbled characters, resulting in cleaner, more consistent language generation. The update upgrades both the code agent and search agent subsystems to yield stronger, more reliable performance across benchmarks. DeepSeek-V3.1-Terminus is also available as an open source model, and its weights are published on Hugging Face. The model structure remains the same as DeepSeek-V3, ensuring compatibility with existing deployment methods, with updated inference demos provided for community use. While trained at a scale of 685B parameters, the model includes FP8, BF16, and F32 tensor formats, offering flexibility across environments.Starting Price: Free -
40
QwQ-Max-Preview
Alibaba
QwQ-Max-Preview is an advanced AI model built on the Qwen2.5-Max architecture, designed to excel in deep reasoning, mathematical problem-solving, coding, and agent-related tasks. This preview version offers a sneak peek at its capabilities, which include improved performance in a wide range of general-domain tasks and the ability to handle complex workflows. QwQ-Max-Preview is slated for an official open-source release under the Apache 2.0 license, offering further advancements and refinements in its full version. It also paves the way for a more accessible AI ecosystem, with the upcoming launch of the Qwen Chat app and smaller variants of the model like QwQ-32B, aimed at developers seeking local deployment options.Starting Price: Free -
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Tencent Cloud Monitor
Tencent
CM is automatically activated for all Tencent Cloud accounts. After purchasing Tencent Cloud products, you can go directly to the CM console to check the running states of your products and set alarms for your products. Data for all metrics can be collected in just seconds, and even the smallest changes to the metrics can be perceived, providing you with an in-depth cloud product monitoring experience. CM provides free storage for monitoring data within seconds for up to 24 hours. You can view and download monitoring data online. CM supports setting custom trigger rules for monitoring metrics, which enables precise alarms in multiple dimensions such as metric thresholds, statistical periods, duration and alarm frequency. Moreover, it can promptly send alarms via email, SMS, WeChat, phone calls and other communication channels. -
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Tencent Ecard
Tencent
Tencent Ecard leverages QR codes to help schools and enterprises go paperless at zero costs. It interconnects various card pass scenarios such as canteen, access control, attendance, and check-in and makes it easier to manage temporary visitors. Tencent Ecard is an in-house electronic card product. It is widely suitable for education, transportation, manufacturing, healthcare, industrial park, and many other use cases, helping achieve refined management of offline/online personnel, even across multiple regions. It can be integrated with many apps and mobile payment services and help quickly aggregate internal services and office applications in different industries. Ecard allows you to display different information such as profile photos, logos, and department names on electronic cards that are unique for different users. In addition, it provides a unified service portal where multiple services can be integrated. -
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Grok 4.20
xAI
Grok 4.20 is an advanced artificial intelligence model developed by xAI to elevate reasoning and natural language understanding. Built on the high-performance Colossus supercomputer, it is engineered for speed, scale, and accuracy. Grok 4.20 processes multimodal inputs such as text and images, with video support planned for future releases. The model excels in scientific, technical, and linguistic tasks, delivering highly precise and context-aware responses. Its architecture supports deep reasoning and sophisticated problem-solving capabilities. Enhanced moderation improves output reliability and reduces bias compared to earlier versions. Overall, Grok 4.20 represents a significant step toward more human-like AI reasoning and interpretation. -
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Phi-4-reasoning-plus
Microsoft
Phi-4-reasoning-plus is a 14-billion parameter open-weight reasoning model that builds upon Phi-4-reasoning capabilities. It is further trained with reinforcement learning to utilize more inference-time compute, using 1.5x more tokens than Phi-4-reasoning, to deliver higher accuracy. Despite its significantly smaller size, Phi-4-reasoning-plus achieves better performance than OpenAI o1-mini and DeepSeek-R1 at most benchmarks, including mathematical reasoning and Ph.D. level science questions. It surpasses the full DeepSeek-R1 model (with 671 billion parameters) on the AIME 2025 test, the 2025 qualifier for the USA Math Olympiad. Phi-4-reasoning-plus is available on Azure AI Foundry and HuggingFace. -
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Marco-o1
AIDC-AI
Marco-o1 is a robust, next-generation AI model tailored for high-performance natural language processing and real-time problem-solving. It is engineered to deliver precise and contextually rich responses, combining deep language comprehension with a streamlined architecture for speed and efficiency. Marco-o1 excels in a variety of applications, including conversational AI, content creation, technical support, and decision-making tasks, adapting seamlessly to diverse user needs. With a focus on intuitive interactions, reliability, and ethical AI principles, Marco-o1 stands out as a cutting-edge solution for individuals and organizations seeking intelligent, adaptive, and scalable AI-driven tools. MCTS allows the exploration of multiple reasoning paths using confidence scores derived from softmax-applied log probabilities of the top-k alternative tokens, guiding the model to optimal solutions.Starting Price: Free -
46
Grok 4.1 Thinking is xAI’s advanced reasoning-focused AI model designed for deeper analysis, reflection, and structured problem-solving. It uses explicit thinking tokens to reason through complex prompts before delivering a response, resulting in more accurate and context-aware outputs. The model excels in tasks that require multi-step logic, nuanced understanding, and thoughtful explanations. Grok 4.1 Thinking demonstrates a strong, coherent personality while maintaining analytical rigor and reliability. It has achieved the top overall ranking on the LMArena Text Leaderboard, reflecting strong human preference in blind evaluations. The model also shows leading performance in emotional intelligence and creative reasoning benchmarks. Grok 4.1 Thinking is built for users who value clarity, depth, and defensible reasoning in AI interactions.
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47
GPT-5.2 Thinking
OpenAI
GPT-5.2 Thinking is the highest-capability configuration in OpenAI’s GPT-5.2 model family, engineered for deep, expert-level reasoning, complex task execution, and advanced problem solving across long contexts and professional domains. Built on the foundational GPT-5.2 architecture with improvements in grounding, stability, and reasoning quality, this variant applies more compute and reasoning effort to generate responses that are more accurate, structured, and contextually rich when handling highly intricate workflows, multi-step analysis, and domain-specific challenges. GPT-5.2 Thinking excels at tasks that require sustained logical coherence, such as detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and sophisticated technical writing, and it outperforms lighter variants on benchmarks that test professional skills and deep comprehension. -
48
Seed1.8
ByteDance
Seed1.8 is ByteDance’s latest generalized agentic AI model designed to bridge understanding and real-world action by combining multimodal perception, agent-like task execution, and wide-ranging reasoning capabilities into a single foundation model that goes beyond simple language generation. It supports multimodal inputs, including text, images, and video, processes very large context windows (hundreds of thousands of tokens at once), and is optimized to handle complex workflows in real environments, such as information retrieval, code generation, GUI interaction, and multi-step decision logic, with efficient, accurate responses suitable for real-world applications. Seed1.8 unifies skills such as search, code understanding, visual context interpretation, and autonomous reasoning so developers and AI systems can build interactive agents and next-generation workflows capable of synthesizing evidence, following instructions deeply, and acting on tasks like automation. -
49
Grok 4
xAI
Grok 4 is the latest AI model from Elon Musk’s xAI, marking a significant advancement in AI reasoning and natural language understanding. Developed on the Colossus supercomputer, Grok 4 supports multimodal inputs including text and images, with plans to add video capabilities soon. It features enhanced precision in language tasks and has demonstrated superior performance in scientific reasoning and visual problem-solving compared to other leading AI models. Designed for developers, researchers, and technical users, Grok 4 offers powerful tools for complex tasks. The model incorporates improved moderation to address previous concerns about biased or problematic outputs. Grok 4 represents a major leap forward in AI’s ability to understand and generate human-like responses. -
50
DeepSeek-V3.2-Speciale
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of the DeepSeek-V3.2 model, created specifically for deep reasoning and advanced problem-solving tasks. It builds on DeepSeek Sparse Attention (DSA), a custom long-context attention mechanism that reduces computational overhead while preserving high performance. Through a large-scale reinforcement learning framework and extensive post-training compute, the Speciale variant surpasses GPT-5 on reasoning benchmarks and matches the capabilities of Gemini-3.0-Pro. The model achieved gold-medal performance in the International Mathematical Olympiad (IMO) 2025 and International Olympiad in Informatics (IOI) 2025. DeepSeek-V3.2-Speciale does not support tool-calling, making it purely optimized for uninterrupted reasoning and analytical accuracy. Released under the MIT license, it provides researchers and developers an open, state-of-the-art model focused entirely on high-precision reasoning.Starting Price: Free
