Qwen3-Coder Instruct on MATH-500: score, rank and what it means
Qwen3-Coder Instruct scores 80.5 on MATH-500, placing it #201 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Qwen3-Coder Instruct highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Qwen3-Coder Instruct sits at #201 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 16.2 points. The median model in this index scores 76.0, which puts Qwen3-Coder Instruct above the midpoint.
Alibaba Cloud models average 76.4 on this benchmark. Qwen3-Coder Instruct is 4.1 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.
Among coding models, the average is 71.0. Qwen3-Coder Instruct is 9.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 80.5 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $4.66 per million input tokens, Qwen3-Coder Instruct is above the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Claude Haiku 4.5 Vision | Anthropic | 128000 | $13.01 | 79.2 |
| Llama 3 DeepInfra Chat | DeepInfra | 200000 | $3.74 | 75.0 |
| Nova Pro | Amazon | 32768 | $12.75 | 79.4 |
| Mistral Small 3 Instruct | Mistral AI | 32768 | $3.97 | 75.1 |
| Qwen3-Coder Instruct | Alibaba Cloud | 128000 | $4.66 | 78.1 |
| Sonar Reasoning | Perplexity | 200000 | $11.48 | 76.2 |
| Llama 3.1 Turbo Instruct | Together AI | 32768 | $4.21 | 76.7 |
Other benchmarks for Qwen3-Coder Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 81.5 | 136 | 77th | |
| GPQA Diamond | 71.7 | 228 | 62th | |
| SWE-bench Verified | 69.3 | 126 | 79th | |
| HumanEval | 82.2 | 183 | 70th | |
| AIME 2025 | 72.2 | 216 | 64th | |
| LiveCodeBench | 71.9 | 149 | 75th | |
| IFEval | 85.3 | 180 | 70th | |
| TruthfulQA | 81.0 | 158 | 74th | |
| HellaSwag | 89.4 | 104 | 83th | |
| MMMU | 74.1 | 190 | 68th | |
| Arena Elo | 1418.7 | 154 | 74th |
FAQ
What score does Qwen3-Coder Instruct get on MATH-500?
Qwen3-Coder Instruct scores 80.5 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Qwen3-Coder Instruct rank on MATH-500?
It ranks #201 of 600 models, in the 67th percentile. The leader is GPT-5.2 Max at 96.7.
Is Qwen3-Coder Instruct good at MATH-500?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the MATH-500 score calculated?
MATH-500 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Qwen3-Coder Instruct cost?
Qwen3-Coder Instruct costs $4.66 per million input tokens and $24.30 per million output tokens.