Reasoning · Perplexity

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

Sonar Pro Nano scores 62.5 on GPQA Diamond, placing it #387 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
62.5
0–100 scale
Rank
#387
of 600
Percentile
36th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
24.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar Pro Nano 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 Nano sits at #387 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 24.5 points. The median model in this index scores 68.8, which puts Sonar Pro Nano below the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Pro Nano is 8.2 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 62.9. Sonar Pro Nano is 0.4 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 62.5 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 $5.50 per million input tokens, Sonar Pro Nano 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
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
Embed 4 Reasoning Cohere 4096 $5.50 65.3
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Sonar Pro Nano Perplexity 32768 $5.50 66.1
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
StableLM 2 Instruct Stability AI 16384 $1.93 65.2

Other benchmarks for Sonar Pro Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.6 410 32th
SWE-bench Verified 55.4 381 37th
HumanEval 69.6 402 33th
MATH-500 69.0 389 35th
AIME 2025 58.8 395 34th
LiveCodeBench 58.2 388 35th
IFEval 73.1 416 31th
TruthfulQA 70.6 395 34th
HellaSwag 79.7 385 36th
MMMU 61.2 418 30th
Arena Elo 1328.5 390 35th

FAQ

What score does Sonar Pro Nano get on GPQA Diamond?

Sonar Pro Nano scores 62.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Pro Nano rank on GPQA Diamond?

It ranks #387 of 600 models, in the 36th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar Pro Nano good at GPQA Diamond?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Sonar Pro Nano costs $5.50 per million input tokens and $22.25 per million output tokens.

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