Reasoning · Alibaba Cloud

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

QwQ Base scores 69.9 on GPQA Diamond, placing it #268 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
69.9
0–100 scale
Rank
#268
of 600
Percentile
55th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
17.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with QwQ Base 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 Base sits at #268 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 17.1 points. The median model in this index scores 68.8, which puts QwQ Base above the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. QwQ Base is 2.0 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. QwQ Base is 3.6 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 69.9 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 $3.68 per million input tokens, QwQ Base 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 Small 3 Instruct Mistral AI 32768 $3.97 75.1
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Sonar Pro Perplexity 65536 $11.25 77.1
Llama 3 Modal Chat Modal 65536 $3.55 73.3

Other benchmarks for QwQ Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 263 56th
SWE-bench Verified 65.2 211 65th
HumanEval 77.0 308 49th
MATH-500 77.5 266 56th
AIME 2025 66.2 326 46th
LiveCodeBench 64.0 319 47th
IFEval 81.2 303 50th
TruthfulQA 79.8 190 68th
HellaSwag 86.4 201 67th
MMMU 70.0 304 49th
Arena Elo 1373.8 300 50th

FAQ

What score does QwQ Base get on GPQA Diamond?

QwQ Base scores 69.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does QwQ Base rank on GPQA Diamond?

It ranks #268 of 600 models, in the 55th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is QwQ Base 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 Base cost?

QwQ Base costs $3.68 per million input tokens and $15.98 per million output tokens.

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