Reasoning · Alibaba Cloud

QwQ Instruct on GPQA Diamond: score, rank and what it means

QwQ Instruct scores 73.5 on GPQA Diamond, placing it #187 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.5
0–100 scale
Rank
#187
of 600
Percentile
69th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with QwQ Instruct 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, QwQ Instruct sits at #187 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.5 points. The median model in this index scores 68.8, which puts QwQ Instruct above the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. QwQ Instruct is 5.6 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. QwQ Instruct is 0.0 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 73.5 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 $4.62 per million input tokens, QwQ Instruct 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 Groq 32768 $3.98 76.8
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Magistral Base Mistral AI 65536 $3.86 75.6
Phi-4 Instruct Microsoft 128000 $3.79 75.3
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Reka Flash Max Reka AI 32768 $11.17 75.9
o4 Mini OpenAI 200000 $11.92 77.7

Other benchmarks for QwQ Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.8 189 69th
SWE-bench Verified 67.3 163 73th
HumanEval 81.2 210 65th
MATH-500 84.1 124 79th
AIME 2025 74.7 161 73th
LiveCodeBench 72.4 139 77th
IFEval 87.7 110 82th
TruthfulQA 82.8 113 81th
HellaSwag 88.4 128 79th
MMMU 76.8 116 81th
Arena Elo 1420.8 146 76th

FAQ

What score does QwQ Instruct get on GPQA Diamond?

QwQ Instruct scores 73.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does QwQ Instruct rank on GPQA Diamond?

It ranks #187 of 600 models, in the 69th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is QwQ Instruct 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 QwQ Instruct cost?

QwQ Instruct costs $4.62 per million input tokens and $17.65 per million output tokens.

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