Analysis Summary
Qwen3 Coder Next is a coding-oriented model from Alibaba's Qwen team with a coding index of 36.2, an intelligence index of 21.1, and a 262K context window. Tool use and function calling are supported. Pricing at $0.11 input and $0.80 output per million tokens is very competitive for a coding-focused model.
For businesses, it suits lightweight code generation, boilerplate automation, and cost-sensitive coding pipelines where frontier-level reasoning is not required. The coding index of 36.2 is in the strong tier but well below the top coding models, so complex software engineering tasks are better served by higher-tier alternatives. Instruction following scores are moderate.
A -4 point regional adjustment applies for limited enterprise adoption. At this price point, it is a reasonable option for teams running high-volume, lower-complexity coding tasks who want to minimise inference costs.
Assessed July 10, 2026
Editorial notes
Qwen3 Coder Next from Alibaba offers a dedicated coding focus with a 262K context window and tool use at very low pricing, though its intelligence and coding indices are modest.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 Coder Next from Alibaba offers a dedicated coding focus with a 262K context window and tool use at very low pricing, though its intelligence and coding indices are modest.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
21.1 Intelligence IndexĀ·36.2 Coding IndexĀ·48.9 Agentic Index
How Qwen: Qwen3 Coder Next compares
Qwen: Qwen3 Coder Next ranks #140 of 393 AI models we track for overall intelligence, #68 of 157 for coding, #77 of 300 for agentic tasks. Its 262K-token context window is larger than 80% of the models we list. At $0.11 per million input tokens it is cheaper than 64% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 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 āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.11 | $0.000110 |
| Output | $0.80 | $0.000800 |
What would Qwen: Qwen3 Coder Next cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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..
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Frequently asked questions about Qwen: Qwen3 Coder Next
How much does Qwen: Qwen3 Coder Next cost?
Qwen: Qwen3 Coder Next costs $0.11 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 #68 of 157 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am