Knowledge · Alibaba Cloud

Qwen3-Coder 7B on MMLU-Pro: score, rank and what it means

Qwen3-Coder 7B scores 66.4 on MMLU-Pro, placing it #434 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
66.4
0–100 scale
Rank
#434
of 600
Percentile
28th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
25.2
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Qwen3-Coder 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Qwen3-Coder 7B sits at #434 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 25.2 points. The median model in this index scores 76.1, which puts Qwen3-Coder 7B below the midpoint.

Alibaba Cloud models average 75.9 on this benchmark. Qwen3-Coder 7B is 9.5 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among coding models, the average is 72.5. Qwen3-Coder 7B is 6.1 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 66.4 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 $1.24 per million input tokens, Qwen3-Coder 7B is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion Mini OpenRouter 4096 $4.89 63.3
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Nova Lite Nano Amazon 8192 $3.29 59.5
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Reka Flash Nano Reka AI 16384 $3.93 61.0
StableLM 2 Chat Stability AI 8192 $1.79 64.6

Other benchmarks for Qwen3-Coder 7B

BenchmarkScoreRankPercentileRelative
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

FAQ

What score does Qwen3-Coder 7B get on MMLU-Pro?

Qwen3-Coder 7B scores 66.4 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Qwen3-Coder 7B rank on MMLU-Pro?

It ranks #434 of 600 models, in the 28th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Qwen3-Coder 7B good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 7B cost?

Qwen3-Coder 7B costs $1.24 per million input tokens and $5.31 per million output tokens.

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