Reasoning · Alibaba Cloud

Qwen3-Coder 7B on GPQA Diamond: score, rank and what it means

Qwen3-Coder 7B scores 55.6 on GPQA Diamond, placing it #457 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
55.6
0–100 scale
Rank
#457
of 600
Percentile
24th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
31.4
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Qwen3-Coder 7B sits at #457 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 31.4 points. The median model in this index scores 68.8, which puts Qwen3-Coder 7B below the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3-Coder 7B is 12.3 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among coding models, the average is 63.9. Qwen3-Coder 7B is 8.3 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 55.6 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
Pythia EleutherAI 32768 $1.29 59.8
Pythia Chat EleutherAI 4096 $1.31 59.1
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Kimi K2 1.5B Moonshot AI 4096 $0.99 56.8
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3

Other benchmarks for Qwen3-Coder 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 434 28th
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 GPQA Diamond?

Qwen3-Coder 7B scores 55.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3-Coder 7B rank on GPQA Diamond?

It ranks #457 of 600 models, in the 24th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3-Coder 7B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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.

Related