Qwen: Qwen3 Coder Next
Analysis Summary
Qwen3 Coder Next is a low-cost coding-focused model with a 262K context window, tool use, and function calling. Its coding measurements are substantially stronger than its general reasoning profile, making it more useful for implementation, code transformation, and repository-aware technical tasks than for broad business analysis. Long context supports sizeable specifications and codebases without requiring aggressive truncation.
The model fits website maintenance, test generation, bug triage, code review, and tool-driven engineering assistants. Its low listed input and output prices make it attractive for frequent developer traffic, but instruction-following results indicate a need for precise prompts and automated checks. Keep it away from unsupervised client communication and strategic writing. Pair it with a stronger general model when technical work requires extensive planning or ambiguous requirements.
Assessed September 7, 2026
Editorial notes
Qwen3 Coder Next offers strong coding capability, a 262K context window, tool use, and very low token prices. Its general reasoning and instruction following are limited, so it is best used as a technical specialist.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 Coder Next offers strong coding capability, a 262K context window, tool use, and very low token prices. Its general reasoning and instruction following are limited, so it is best used as a technical specialist.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
10.1 Intelligence Index·36.2 Coding Index·3.6 Agentic Index
How Qwen: Qwen3 Coder Next compares
Qwen: Qwen3 Coder Next ranks #236 of 438 AI models we track for overall intelligence, #111 of 210 for coding, #139 of 192 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $0.12 per million input tokens it is cheaper than 63% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.80 | $0.000800 |
What would Qwen: Qwen3 Coder Next cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 Coder Next for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per..
Frequently asked questions about Qwen: Qwen3 Coder Next
How much does Qwen: Qwen3 Coder Next cost?
Qwen: Qwen3 Coder Next costs $0.12 per million input tokens and $0.80 per million output tokens.
What is the context window of Qwen: Qwen3 Coder Next?
Qwen: Qwen3 Coder Next has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3 Coder Next good for coding?
On our coding benchmark index, Qwen: Qwen3 Coder Next ranks #111 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 Coder Next do?
Qwen: Qwen3 Coder Next supports tool use and function calling.
Who created Qwen: Qwen3 Coder Next?
Qwen: Qwen3 Coder Next is developed by Qwen and was released on February 4, 2026.