Qwen3-Coder-30B-A3B-Instruct
Qwen3-Coder-30B-A3B-Instruct is an AI model published by Alibaba, released on 2025-07-31, for Coding model, with 30.5B parameters, and 1000K context length, requiring about 61.09 GB storage, with a 51.60 score on SWE-bench Verified.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0015/ 1K tokens | ¥0.0060/ 1K tokens |
| Text | Context > 32768 | ¥0.0023/ 1K tokens | ¥0.0090/ 1K tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Qwen3-Coder-Flash currently shows benchmark results led by Terminal-Bench (19 / 35, score 31.30), SWE-bench Verified (95 / 116, score 51.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
1 evaluationsPublisher
Model Overview
Qwen3-Coder-30B-A3B-Instruct is an AI model published by Alibaba, released on 2025-07-31, for Coding model, with 30.5B parameters, and 1000K context length, requiring about 61.09 GB storage, with a 51.60 score on SWE-bench Verified.
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