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Description

Olmo 3 represents a comprehensive family of open models featuring variations with 7 billion and 32 billion parameters, offering exceptional capabilities in base performance, reasoning, instruction, and reinforcement learning, while also providing transparency throughout the model development process, which includes access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a window of 65,536 tokens), and provenance tools. The foundation of these models is built upon the Dolma 3 dataset, which comprises approximately 9 trillion tokens and utilizes a careful blend of web content, scientific papers, programming code, and lengthy documents; this thorough pre-training, mid-training, and long-context approach culminates in base models that undergo post-training enhancements through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, resulting in the creation of the Think and Instruct variants. Notably, the 32 billion Think model has been recognized as the most powerful fully open reasoning model to date, demonstrating performance that closely rivals that of proprietary counterparts in areas such as mathematics, programming, and intricate reasoning tasks, thereby marking a significant advancement in open model development. This innovation underscores the potential for open-source models to compete with traditional, closed systems in various complex applications.

Description

Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Fable 5.1 No 
Claude Mythos 5 No 
Claude Opus 4.5 No 
Claude Opus 4.6 No 
Claude Opus 4.7 No 
Claude Opus 4.8 No 
Claude Opus 5 No 
Claude Sonnet 4.6 No 
Claude Sonnet 5.5 No 
Melaya No 
Node.js No 
OpenSpec No 
Qwen2.5 No 
Qwen3.8-2.4T-A95B No 
Qwen3.8-27B No 
Qwen3.8-Flash-Next No 
Qwen3.8-Max No 
QwenCloud No 
Step 5 Preview No 
SuperBased No 

Integrations

Claude Fable 5.1 Yes 
Claude Mythos 5 Yes 
Claude Opus 4.5 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.7 Yes 
Claude Opus 4.8 Yes 
Claude Opus 5 Yes 
Claude Sonnet 4.6 Yes 
Claude Sonnet 5.5 Yes 
Melaya Yes 
Node.js Yes 
OpenSpec Yes 
Qwen2.5 Yes 
Qwen3.8-2.4T-A95B Yes 
Qwen3.8-27B Yes 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Max Yes 
QwenCloud Yes 
Step 5 Preview Yes 
SuperBased Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Ai2

Founded

2014

Country

United States

Website

allenai.org/blog/olmo3

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

github.com/QwenLM/qwen-code

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Product Features

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