Reasoning · Alibaba Cloud

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

Qwen3 7B scores 55.2 on GPQA Diamond, placing it #460 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
55.2
0–100 scale
Rank
#460
of 600
Percentile
23th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
31.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Qwen3 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 7B sits at #460 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 31.8 points. The median model in this index scores 68.8, which puts Qwen3 7B below the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3 7B is 12.7 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among small open-weight models, the average is 49.3. Qwen3 7B is 5.9 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 55.2 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 $1.37 per million input tokens, Qwen3 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
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
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
Command R+ 8B Cohere 8192 $1.21 57.7

Other benchmarks for Qwen3 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.2 466 22th
SWE-bench Verified 44.7 468 22th
HumanEval 65.2 439 27th
MATH-500 60.8 453 25th
AIME 2025 49.3 464 23th
LiveCodeBench 50.3 445 26th
IFEval 68.9 478 20th
TruthfulQA 65.8 447 26th
HellaSwag 77.0 416 31th
MMMU 56.4 481 20th
Arena Elo 1283.5 439 27th

FAQ

What score does Qwen3 7B get on GPQA Diamond?

Qwen3 7B scores 55.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3 7B rank on GPQA Diamond?

It ranks #460 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3 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 7B cost?

Qwen3 7B costs $1.37 per million input tokens and $7.23 per million output tokens.

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