Mathematics · Alibaba Cloud

Qwen3-Coder on MATH-500: score, rank and what it means

Qwen3-Coder scores 86.1 on MATH-500, placing it #92 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
86.1
0–100 scale
Rank
#92
of 600
Percentile
85th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
10.6
points

Score distribution

The chart shows the top 10 models on MATH-500, with Qwen3-Coder highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 sits at #92 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 10.6 points. The median model in this index scores 76.0, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 76.4 on this benchmark. Qwen3-Coder is 9.7 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 is 15.1 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 86.1 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 $4.94 per million input tokens, Qwen3-Coder 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.

ModelProviderContextInput / 1MAvg score
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
Gemini 3 Flash Reasoning Google DeepMind 128000 $17.05 83.7
Sonar Pro Max Perplexity 128000 $14.01 81.1
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
Reka Core Pro Reka AI 65536 $13.44 79.9

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
HumanEval 83.5 146 76th
AIME 2025 74.2 175 71th
LiveCodeBench 69.8 196 67th
IFEval 86.6 144 76th
TruthfulQA 79.8 192 68th
HellaSwag 86.7 188 69th
MMMU 75.2 159 74th
Arena Elo 1439.3 98 84th

FAQ

What score does Qwen3-Coder get on MATH-500?

Qwen3-Coder scores 86.1 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Qwen3-Coder rank on MATH-500?

It ranks #92 of 600 models, in the 85th percentile. The leader is GPT-5.2 Max at 96.7.

Is Qwen3-Coder 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 cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

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