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About

Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, matching the coding capabilities of GPT-4o. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills. As of now, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers. We explore the practicality of Qwen2.5-Coder in two scenarios, including code assistants and artifacts, with some examples showcasing the potential applications of Qwen2.5-Coder in real-world scenarios. Qwen2.5-Coder-32B-Instruct, as the flagship model of this open source release, has achieved the best performance among open source models on multiple popular code generation benchmarks and has competitive performance with GPT-4o. Code repair is an important programming skill. Qwen2.5-Coder-32B-Instruct can help users fix errors in their code, making programming more efficient.

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

Researchers and anyone wanting a solution to streamline and automate their tasks with AI

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

Free
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

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

Review this Software

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

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-coder-family/

Company Information

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

Alternatives

DeepCoder

DeepCoder

Agentica Project

Alternatives

Qwen2-VL

Qwen2-VL

Alibaba
Qwen3-VL

Qwen3-VL

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Qwen

Qwen

Alibaba
Qwen2

Qwen2

Alibaba
Qwen2.5

Qwen2.5

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
C
C#
C++
CSS
Clojure
Go
Hugging Face
Hyperbolic
Java
JavaScript
Julia
ModelScope
Python
Qwen Chat
Rust
SQL
Scala
Sesterce
TypeScript

Integrations

Alibaba Cloud
C
C#
C++
CSS
Clojure
Go
Hugging Face
Hyperbolic
Java
JavaScript
Julia
ModelScope
Python
Qwen Chat
Rust
SQL
Scala
Sesterce
TypeScript
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-VL-32B and update features and information
Claim Qwen2.5-VL-32B and update features and information