Qwen: Qwen3 Coder Next
Analysis Summary
Qwen3 Coder Next is a coding-focused model designed for affordable software development workflows. Its coding result is substantially stronger than its general intelligence measure, and it supports a 262K context window, tool use, and function calling. That combination can support repository navigation, code generation, debugging, and structured developer assistants without premium token costs.
The model is best used for bounded engineering tasks such as test creation, refactoring suggestions, documentation, and routine implementation work. Its agentic result is limited, so autonomous operation across many tools or long sequences should include tight permissions, checkpoints, and human review. Text-only input also means image-based interface or diagram analysis is outside its stated role.
Low pricing makes it attractive for engineering volume. Adopt it as a coding specialist, not as a general client-content or high-autonomy assistant.
Assessed August 9, 2026
Editorial notes
Qwen3 Coder Next provides strong coding signals, a 262K context window, tool use, and very low pricing, but limited general reasoning and agentic reliability make it a specialist engineering model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 Coder Next provides strong coding signals, a 262K context window, tool use, and very low pricing, but limited general reasoning and agentic reliability make it a specialist engineering model.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
21.3 Intelligence Index·36.2 Coding Index·8.9 Agentic Index
How Qwen: Qwen3 Coder Next compares
Qwen: Qwen3 Coder Next ranks #170 of 427 AI models we track for overall intelligence, #103 of 200 for coding, #121 of 182 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.12 per million input tokens it is cheaper than 64% 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 technical 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 713 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 #103 of 200 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.