Gemini Diffusion

Gemini Diffusion

Google DeepMind
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About

Gemini Diffusion is our state-of-the-art research model exploring what diffusion means for language and text generation. Large-language models are the foundation of generative AI today. We’re using a technique called diffusion to explore a new kind of language model that gives users greater control, creativity, and speed in text generation. Diffusion models work differently. Instead of predicting text directly, they learn to generate outputs by refining noise, step by step. This means they can iterate on a solution very quickly and error correct during the generation process. This helps them excel at tasks like editing, including in the context of math and code. Generates entire blocks of tokens at once, meaning it responds more coherently to a user’s prompt than autoregressive models. Gemini Diffusion’s external benchmark performance is comparable to much larger models, whilst also being faster.

About

Qwen2.5-VL-32B is a state-of-the-art AI model designed for multimodal tasks, offering advanced capabilities in both text and image reasoning. It builds upon the earlier Qwen2.5-VL series, improving response quality with more human-like, formatted answers. The model excels in mathematical reasoning, fine-grained image understanding, and complex, multi-step reasoning tasks, such as those found in MathVista and MMMU benchmarks. Its superior performance has been demonstrated in comparison to other models, outperforming the larger Qwen2-VL-72B in certain areas. With improved image parsing and visual logic deduction, Qwen2.5-VL-32B provides a detailed, accurate analysis of images and can generate responses based on complex visual inputs. It has been optimized for both text and image tasks, making it ideal for applications requiring sophisticated reasoning and understanding across different media.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers and developers seeking a tool providing editable text generation by leveraging diffusion-based language modeling

Audience

Developers and researchers in AI, machine learning, and data science needing a model for complex reasoning and image-text integration

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemini-diffusion/

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-vl-32b/

Alternatives

ByteDance Seed

ByteDance Seed

ByteDance

Alternatives

Qwen2-VL

Qwen2-VL

Alibaba
Mercury Coder

Mercury Coder

Inception Labs
Qwen3-VL

Qwen3-VL

Alibaba
Qwen

Qwen

Alibaba
ModelScope

ModelScope

Alibaba Cloud
Qwen3.5

Qwen3.5

Alibaba
Qwen3.5-Plus

Qwen3.5-Plus

Alibaba

Categories

Categories

Integrations

Gemini
Gemini Enterprise
WeatherNext

Integrations

Gemini
Gemini Enterprise
WeatherNext
Claim Gemini Diffusion and update features and information
Claim Gemini Diffusion and update features and information
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Claim Qwen2.5-VL-32B and update features and information