Reasoning · Perplexity

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

Sonar Mini scores 60.4 on GPQA Diamond, placing it #401 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
60.4
0–100 scale
Rank
#401
of 600
Percentile
33th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
26.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Sonar Mini 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 Mini sits at #401 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 26.6 points. The median model in this index scores 68.8, which puts Sonar Mini below the midpoint.

Perplexity models average 70.7 on this benchmark. Sonar Mini is 10.3 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 Mini is 2.5 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 60.4 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 $6.52 per million input tokens, Sonar Mini 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
Embed 4 Pro Cohere 4096 $5.05 63.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Nova Pro Nano Amazon 8192 $5.44 65.4
Zephyr Hugging Face 8192 $1.61 62.8
Sonar Mini Perplexity 65536 $6.52 67.9
Phi-3.5 Base Microsoft 65536 $2.24 66.6
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2

Other benchmarks for Sonar Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.2 388 35th
SWE-bench Verified 56.9 369 39th
HumanEval 70.4 390 35th
MATH-500 72.7 360 40th
AIME 2025 60.4 385 36th
LiveCodeBench 55.1 403 33th
IFEval 77.5 373 38th
TruthfulQA 74.0 354 41th
HellaSwag 81.7 355 41th
MMMU 67.0 360 40th
Arena Elo 1334.4 383 36th

FAQ

What score does Sonar Mini get on GPQA Diamond?

Sonar Mini scores 60.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Sonar Mini rank on GPQA Diamond?

It ranks #401 of 600 models, in the 33rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Sonar Mini 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 Mini cost?

Sonar Mini costs $6.52 per million input tokens and $35.69 per million output tokens.

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