Reasoning · Perplexity

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

Sonar Pro Pro scores 72.6 on GPQA Diamond, placing it #210 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
72.6
0–100 scale
Rank
#210
of 600
Percentile
65th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
14.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar Pro 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 Pro sits at #210 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 14.4 points. The median model in this index scores 68.8, which puts Sonar Pro Pro above the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Pro Pro is 1.9 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 Pro is 0.9 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 72.6 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 $13.59 per million input tokens, Sonar Pro 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
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Seed-OSS ByteDance 32768 $3.74 75.3
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Nova Pro Turbo Amazon 128000 $13.18 78.4

Other benchmarks for Sonar Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 202 66th
SWE-bench Verified 69.7 118 80th
HumanEval 83.0 160 73th
MATH-500 81.9 169 72th
AIME 2025 80.6 80 87th
LiveCodeBench 74.2 105 83th
IFEval 87.9 105 83th
TruthfulQA 79.3 208 65th
HellaSwag 88.7 122 80th
MMMU 78.9 77 87th
Arena Elo 1434.0 111 82th

FAQ

What score does Sonar Pro Pro get on GPQA Diamond?

Sonar Pro Pro scores 72.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Pro Pro rank on GPQA Diamond?

It ranks #210 of 600 models, in the 65th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar Pro 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 Pro cost?

Sonar Pro Pro costs $13.59 per million input tokens and $73.47 per million output tokens.

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