Reasoning · Perplexity

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

Sonar Pro Turbo scores 74.2 on GPQA Diamond, placing it #163 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
74.2
0–100 scale
Rank
#163
of 600
Percentile
73th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
12.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar Pro Turbo 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 Turbo sits at #163 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 12.8 points. The median model in this index scores 68.8, which puts Sonar Pro Turbo above the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Pro Turbo is 3.5 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 Turbo is 0.7 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 74.2 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 $13.55 per million input tokens, Sonar Pro Turbo 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
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
Command A Cohere 200000 $13.30 79.6
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4
Llama 4 Scout Meta AI 200000 $4.90 79.3

Other benchmarks for Sonar Pro Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.6 132 78th
SWE-bench Verified 66.3 187 69th
HumanEval 84.7 123 80th
MATH-500 84.1 125 79th
AIME 2025 73.9 188 69th
LiveCodeBench 73.7 116 81th
IFEval 84.9 196 67th
TruthfulQA 81.2 151 75th
HellaSwag 89.3 106 82th
MMMU 75.2 160 73th
Arena Elo 1434.8 107 82th

FAQ

What score does Sonar Pro Turbo get on GPQA Diamond?

Sonar Pro Turbo scores 74.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Pro Turbo rank on GPQA Diamond?

It ranks #163 of 600 models, in the 73rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar Pro Turbo 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 Turbo cost?

Sonar Pro Turbo costs $13.55 per million input tokens and $57.97 per million output tokens.

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