Reasoning · Alibaba Cloud

Qwen3 8B on GPQA Diamond: score, rank and what it means

Qwen3 8B scores 57.2 on GPQA Diamond, placing it #437 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
57.2
0–100 scale
Rank
#437
of 600
Percentile
27th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
29.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Qwen3 8B 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 8B sits at #437 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 29.8 points. The median model in this index scores 68.8, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3 8B is 10.7 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 8B is 7.9 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 57.2 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 $1.66 per million input tokens, Qwen3 8B 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
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Zephyr Base Hugging Face 4096 $1.26 59.5
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1

Other benchmarks for Qwen3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 432 28th
SWE-bench Verified 51.0 413 31th
HumanEval 65.7 434 28th
MATH-500 62.8 438 27th
AIME 2025 52.6 438 27th
LiveCodeBench 51.5 433 28th
IFEval 71.0 442 26th
TruthfulQA 67.2 427 29th
HellaSwag 75.6 433 28th
MMMU 59.8 430 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on GPQA Diamond?

Qwen3 8B scores 57.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3 8B rank on GPQA Diamond?

It ranks #437 of 600 models, in the 27th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3 8B 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 8B cost?

Qwen3 8B costs $1.66 per million input tokens and $6.65 per million output tokens.

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