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Alibaba releases Qwen3-Coder, a 480-billion parameter open-source coding model with agentic capabilities

Model release Provisional 95% confidence first seen 22 July 2025, 13:00

Alibaba released Qwen3-Coder, an open-source AI model designed for coding tasks with 480 billion total parameters and 35 billion active parameters, supporting context windows up to 256,000 tokens natively. The model achieved state-of-the-art performance on agentic coding benchmarks with capabilities comparable to Claude Sonnet 4, and is now available on Together AI's platform for deployment.

Source coverage

22 Jul, 13:00 Qwen3-Coder: Agentic Coding in the World Qwen 25 Jul, 00:00 Qwen3-Coder: The Most Capable Agentic Coding Model Now Available on Together AI Together AI

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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Alibaba releases Qwen3-Coder, a 480-billion parameter open-source coding model with agentic capabilities

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Every AI story that matters, in your inbox by 8am.

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