Qwen3-Coder 7B: pricing, context window and benchmarks
Qwen3-Coder 7B is a coding model from Alibaba Cloud. It offers a 32,768-token context window, costs $1.24 per million input tokens and $5.31 per million output tokens, and averages 59.6 across the index's benchmark suite.
Pricing
Qwen3-Coder 7B costs $1.24 per million input tokens and $5.31 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.26 per million tokens. Cached input is listed at $0.17 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.24 | per 1M tokens |
| Output | $5.31 | per 1M tokens |
| Cached input | $0.17 | per 1M tokens |
| Blended 3:1 | $2.26 | estimate per 1M tokens |
| 1M in + 1M out | $6.55 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 66.4 | 434 | 28th | |
| GPQA Diamond | 55.6 | 457 | 24th | |
| SWE-bench Verified | 43.4 | 487 | 19th | |
| HumanEval | 62.1 | 467 | 22th | |
| MATH-500 | 61.9 | 447 | 26th | |
| AIME 2025 | 52.7 | 437 | 27th | |
| LiveCodeBench | 48.3 | 463 | 23th | |
| IFEval | 71.1 | 441 | 27th | |
| TruthfulQA | 64.3 | 467 | 22th | |
| HellaSwag | 72.9 | 484 | 19th | |
| MMMU | 56.4 | 482 | 20th | |
| Arena Elo | 1275.4 | 452 | 25th |
What Qwen3-Coder 7B is good for
Qwen3-Coder 7B is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $1.24 per million input tokens, it sits in the mid-range of the index, and the 32,768-token context window is enough for large files and multi-file diffs.
Strengths
- Input price of $1.24 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-NeoX Base | EleutherAI | 16384 | $1.22 | 59.7 |
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| QwQ 8B | Alibaba Cloud | 16384 | $1.37 | 59.5 |
| Zephyr Base | Hugging Face | 4096 | $1.26 | 59.5 |
FAQ
How much does Qwen3-Coder 7B cost?
Qwen3-Coder 7B is listed at $1.24 per million input tokens and $5.31 per million output tokens. Cached input is $0.17 per million tokens. A blended 3:1 input-to-output mix is about $2.26 per million tokens.
What is the context window of Qwen3-Coder 7B?
Qwen3-Coder 7B has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Qwen3-Coder 7B open weights?
Yes. Qwen3-Coder 7B is listed as an open-weight model under a open weights licence.
How does Qwen3-Coder 7B score on benchmarks?
Qwen3-Coder 7B averages 59.6 across the scored benchmarks in this index, ranking #457 of 600 models. Its strongest relative result is Arena Elo at 1275.4.
What is Qwen3-Coder 7B best for?
Qwen3-Coder 7B is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $1.24 per million input tokens, it sits in the mid-range of the index, and the 32,768-token context window is enough for large files and multi-file diffs.