Reasoning · Perplexity

Sonar Pro on GPQA Diamond: score, rank and what it means

Sonar Pro scores 77.1 on GPQA Diamond, placing it #105 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
77.1
0–100 scale
Rank
#105
of 600
Percentile
83th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
9.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar Pro 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, Sonar Pro sits at #105 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 9.9 points. The median model in this index scores 68.8, which puts Sonar Pro above the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Pro is 6.4 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 73.5. Sonar Pro is 3.6 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 77.1 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 $13.01 per million input tokens, Sonar Pro 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
Grok 3 Reasoning xAI 200000 $16.07 82.9
ERNIE 4.5 Baidu 65536 $13.44 80.0
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Sonar Pro Perplexity 128000 $13.01 79.1
Claude 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Llama 4 Maverick Meta AI 200000 $5.36 81.6

Other benchmarks for Sonar Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.7 224 63th
SWE-bench Verified 68.9 132 78th
HumanEval 82.6 170 72th
MATH-500 80.7 196 67th
AIME 2025 74.7 162 73th
LiveCodeBench 75.0 96 84th
IFEval 87.4 125 79th
TruthfulQA 82.5 119 80th
HellaSwag 86.5 196 67th
MMMU 75.7 146 76th
Arena Elo 1411.3 181 70th

FAQ

What score does Sonar Pro get on GPQA Diamond?

Sonar Pro scores 77.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Pro rank on GPQA Diamond?

It ranks #105 of 600 models, in the 83rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar Pro 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 Sonar Pro cost?

Sonar Pro costs $13.01 per million input tokens and $50.93 per million output tokens.

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