Mathematics · Alibaba Cloud

Qwen3-Coder 8B on MATH-500: score, rank and what it means

Qwen3-Coder 8B scores 63.5 on MATH-500, placing it #430 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
63.5
0–100 scale
Rank
#430
of 600
Percentile
28th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
33.2
points

Score distribution

The chart shows the top 10 models on MATH-500, with Qwen3-Coder 8B 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 8B sits at #430 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 33.2 points. The median model in this index scores 76.0, which puts Qwen3-Coder 8B below the midpoint.

Alibaba Cloud models average 76.4 on this benchmark. Qwen3-Coder 8B is 12.9 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among coding models, the average is 71.0. Qwen3-Coder 8B is 7.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 63.5 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 $1.43 per million input tokens, Qwen3-Coder 8B is below 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
StableLM 2 Base Stability AI 8192 $1.49 61.9
Embed 4 Pro Cohere 4096 $5.05 63.5
Pythia EleutherAI 32768 $1.29 59.8
Pythia Instruct EleutherAI 8192 $1.41 60.8
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Fusion Mini OpenRouter 4096 $4.89 63.3

Other benchmarks for Qwen3-Coder 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.6 423 30th
GPQA Diamond 55.4 459 24th
SWE-bench Verified 46.0 453 25th
HumanEval 64.6 446 26th
AIME 2025 54.4 418 30th
LiveCodeBench 52.4 423 30th
IFEval 70.1 461 23th
TruthfulQA 64.9 461 23th
HellaSwag 76.6 419 30th
MMMU 58.8 444 26th
Arena Elo 1286.5 436 27th

FAQ

What score does Qwen3-Coder 8B get on MATH-500?

Qwen3-Coder 8B scores 63.5 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Qwen3-Coder 8B rank on MATH-500?

It ranks #430 of 600 models, in the 28th percentile. The leader is GPT-5.2 Max at 96.7.

Is Qwen3-Coder 8B good at MATH-500?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 8B cost?

Qwen3-Coder 8B costs $1.43 per million input tokens and $7.30 per million output tokens.

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