Analysis Summary
Qwen3 Coder 30B A3B Instruct is Qwen's smaller coding-specialist MoE model, released in late July 2025. With an intelligence index of 13.6 and livecodebench of 0.403, it sits in the mid-lower range of benchmarked coding models, but its pricing at $0.07 input and $0.27 output makes it highly cost-efficient for coding-focused workloads.
Tool use and function calling are supported, and the 160K context window is adequate for most codebase tasks. The agentic index of 24.8 and tau2 of 0.345 indicate basic multi-step capability, though complex agentic workflows would benefit from a stronger model. Instruction following (ifbench 0.327) is modest.
Best suited for high-volume, cost-sensitive coding assistance, code completion, or lightweight automation where budget is the primary constraint and task complexity is moderate.
Assessed July 10, 2026
Editorial notes
Qwen3 Coder 30B A3B Instruct is a compact coding-focused MoE model with a livecodebench score of 0.403, tool use, and very low pricing at $0.07 input per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 Coder 30B A3B Instruct is a compact coding-focused MoE model with a livecodebench score of 0.403, tool use, and very low pricing at $0.07 input per million tokens.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
13.6 Intelligence IndexĀ·24.8 Agentic IndexĀ·29 Math Index
How Qwen: Qwen3 Coder 30B A3B Instruct compares
Qwen: Qwen3 Coder 30B A3B Instruct ranks #196 of 393 AI models we track for overall intelligence, #157 of 300 for agentic tasks. Its 160K-token context window is larger than 58% of the models we list. At $0.07 per million input tokens it is cheaper than 71% 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 | $0.07 | $0.000070 |
| Output | $0.27 | $0.000270 |
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 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 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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<a href="https://designforonline.com/ai-models/qwen-qwen3-coder-30b-a3b-instruct/"><img src="https://designforonline.com/?aiml_badge=qwen-qwen3-coder-30b-a3b-instruct&theme=dark" alt="Qwen: Qwen3 Coder 30B A3B Instruct, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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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 $0.27 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 160,000 tokens (160K).
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: July 19, 2026 8:38 pm