Mathematics · Perplexity

Sonar Mini on MATH-500: score, rank and what it means

Sonar Mini scores 72.7 on MATH-500, placing it #360 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
72.7
0–100 scale
Rank
#360
of 600
Percentile
40th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
24.0
points

Score distribution

The chart shows the top 10 models on MATH-500, with Sonar Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Sonar Mini sits at #360 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 24.0 points. The median model in this index scores 76.0, which puts Sonar Mini below the midpoint.

Perplexity models average 78.7 on this benchmark. Sonar Mini is 6.0 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 70.0. Sonar Mini is 2.7 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 72.7 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 MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Firesearch Max Fireworks AI 8192 $7.80 69.9
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Sonar Mini Perplexity 65536 $6.52 67.9
Auto Max OpenRouter 8192 $8.41 71.2
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4

Other benchmarks for Sonar Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.2 388 35th
GPQA Diamond 60.4 401 33th
SWE-bench Verified 56.9 369 39th
HumanEval 70.4 390 35th
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 MATH-500?

Sonar Mini scores 72.7 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Sonar Mini rank on MATH-500?

It ranks #360 of 600 models, in the 40th percentile. The leader is GPT-5.2 Max at 96.7.

Is Sonar Mini good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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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