Analysis Summary
Qwen3 Coder 30B A3B Instruct is a coding-oriented text-to-text model with a 262K context window, tool use, and function calling. Pricing is low at $0.07 per million input tokens and $0.27 per million output tokens, supporting economical code review, transformation, and generation at scale.
The measured results show limited general intelligence, instruction following, long-context performance, and terminal reliability, with coding performance below premium engineering models. It is best used for boilerplate, code explanation, test drafting, and tightly scoped developer assistance. Keep human review and automated tests in the loop, and escalate repository-wide changes or agentic tasks to a stronger model.
Assessed August 9, 2026
Editorial notes
Qwen3 Coder 30B A3B Instruct offers 262K context, tool use, function calling, and very low pricing. Its measured coding and long-context results are limited, so it suits assisted rather than autonomous engineering.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 Coder 30B A3B Instruct offers 262K context, tool use, function calling, and very low pricing. Its measured coding and long-context results are limited, so it suits assisted rather than autonomous engineering.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
13.6 Intelligence Index·29 Math Index
How Qwen: Qwen3 Coder 30B A3B Instruct compares
Qwen: Qwen3 Coder 30B A3B Instruct ranks #237 of 432 AI models we track for overall intelligence. Its 262K-token context window is larger than 72% of the models we list. At $0.07 per million input tokens it is cheaper than 73% 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 | $0.07 | $0.000070 |
| Output | $0.28 | $0.000280 |
What would Qwen: Qwen3 Coder 30B A3B Instruct 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 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 Coder 30B A3B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 Coder 30B A3B Instruct
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the..
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Frequently asked questions about Qwen: Qwen3 Coder 30B A3B Instruct
How much does Qwen: Qwen3 Coder 30B A3B Instruct cost?
Qwen: Qwen3 Coder 30B A3B Instruct costs $0.07 per million input tokens and $0.28 per million output tokens.
What is the context window of Qwen: Qwen3 Coder 30B A3B Instruct?
Qwen: Qwen3 Coder 30B A3B Instruct has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3 Coder 30B A3B Instruct do?
Qwen: Qwen3 Coder 30B A3B Instruct supports tool use and function calling.
Who created Qwen: Qwen3 Coder 30B A3B Instruct?
Qwen: Qwen3 Coder 30B A3B Instruct is developed by Qwen and was released on July 31, 2025.
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: September 2, 2026 11:59 am