QWEN3-CODER

Qwen3-Coder: agentic coding with a 1M-token window

Coding-specialist model optimized for agentic workflows. 1M token context. Excellent function calling, tool use, and long-context reasoning. $1 input / $5 output per million tokens.

Try Qwen3-Coder on Council See it in a council

Qwen3-Coder is Alibaba's coding-specialist model — purpose-built for agentic developer workflows. The headline feature is the 1M-token context window, the largest in the Qwen lineup, which lets you load entire codebases without chunking or RAG. Function calling and tool use are tuned aggressively: the model is trained to plan, call tools, observe outputs, and iterate inside an agent loop. Priced at $1 per million input tokens and $5 per million output, it sits below GPT-5.5 ($5/$30) and Opus 4.7 ($5/$25) while specifically out-investing them on the agentic-coding axis. The case for: building a coding agent, refactoring a large repo, IDE assistants that need whole-project awareness, long tool-use sessions. The case against: general writing and reasoning — for those, pick Qwen3-Max or a frontier US model. It's a specialist, and like any specialist it shines in its lane and is mediocre outside it.

Specs

ProviderAlibaba (Qwen)
SpecializationCoding + agentic tool use
Context window1,000,000 tokens
Tool callingAggressively tuned for agent loops
Web searchNo native tool on this endpoint
Price (in / out per 1M)$1.00 / $5.00
MultimodalText only

Best at

Where it loses

How it fits in a council

In a Council AI panel, Qwen3-Coder works well alongside Claude Sonnet 4.6 and GPT-5.5 on coding prompts — it brings the 1M-context, tool-tuned perspective while the others bring writing taste and agent-loop stability. Drop it from non-coding councils to avoid spending tokens on a specialist outside its lane.

Frequently asked questions

Is Qwen3-Coder the same as Qwen3-Max?

No — Qwen3-Max is the trillion-parameter generalist flagship. Qwen3-Coder is a smaller, specialized coding model with a much larger (1M) context window and tool-use tuning.

Can Qwen3-Coder handle a whole repo at once?

Yes — the 1M-token context window fits most projects without chunking. Treat it like Gemini 3 Pro for coding-only workloads.

How much does Qwen3-Coder cost?

$1.00 per million input tokens and $5.00 per million output. About 5x cheaper than GPT-5.5 and 15x cheaper than Opus 4.7.

Is Qwen3-Coder good for agent workflows?

Yes — it's one of its core specializations. Function calling, tool use, and multi-step loops are all tuned aggressively in training.

Does Qwen3-Coder support web search?

Not natively on this endpoint. Pair it with a web-search tool you provide, or pick Qwen3-Max / Qwen3.6-Max for native search.

Should I pick Qwen3-Coder over Claude Sonnet 4.6 for coding?

Run both in a Council AI panel and compare on your codebase. Qwen3-Coder wins on context size and price; Sonnet 4.6 wins on writing voice in comments/docs and SWE-bench refactor patches.