Reasoning · Perplexity

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

Sonar Nano scores 57.4 on GPQA Diamond, placing it #434 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
57.4
0–100 scale
Rank
#434
of 600
Percentile
28th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
29.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar 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 Nano sits at #434 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 29.6 points. The median model in this index scores 68.8, which puts Sonar Nano below the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Nano is 13.3 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 Nano is 5.5 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 57.4 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 $4.37 per million input tokens, Sonar 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
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
Magistral 7B Mistral AI 32768 $1.22 58.9
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4

Other benchmarks for Sonar Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.8 439 27th
SWE-bench Verified 48.4 435 28th
HumanEval 63.7 453 25th
MATH-500 66.7 411 32th
AIME 2025 50.6 456 24th
LiveCodeBench 55.1 404 33th
IFEval 70.7 446 26th
TruthfulQA 68.5 409 32th
HellaSwag 75.1 441 27th
MMMU 59.2 438 27th
Arena Elo 1303.0 413 31th

FAQ

What score does Sonar Nano get on GPQA Diamond?

Sonar Nano scores 57.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Nano rank on GPQA Diamond?

It ranks #434 of 600 models, in the 28th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar 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 Nano cost?

Sonar Nano costs $4.37 per million input tokens and $16.96 per million output tokens.

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