Reasoning · Alibaba Cloud

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

Qwen3 Chat scores 73.9 on GPQA Diamond, placing it #173 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.9
0–100 scale
Rank
#173
of 600
Percentile
71th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Qwen3 Chat 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 Chat sits at #173 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.1 points. The median model in this index scores 68.8, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3 Chat is 6.0 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 73.5. Qwen3 Chat is 0.4 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 73.9 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 $4.75 per million input tokens, Qwen3 Chat is above 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
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Nova Pro Amazon 32768 $12.75 79.4
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
SWE-bench Verified 68.5 133 78th
HumanEval 83.9 136 77th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
LiveCodeBench 72.2 144 76th
IFEval 87.5 118 80th
TruthfulQA 81.3 145 76th
HellaSwag 86.5 194 68th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

What score does Qwen3 Chat get on GPQA Diamond?

Qwen3 Chat scores 73.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3 Chat rank on GPQA Diamond?

It ranks #173 of 600 models, in the 71st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3 Chat good at GPQA Diamond?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

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