Mathematics · Perplexity

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

Sonar Pro Mini scores 74.8 on MATH-500, placing it #333 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
74.8
0–100 scale
Rank
#333
of 600
Percentile
45th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
21.9
points

Score distribution

The chart shows the top 10 models on MATH-500, with Sonar Pro 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 Pro Mini sits at #333 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 21.9 points. The median model in this index scores 76.0, which puts Sonar Pro Mini below the midpoint.

Perplexity models average 78.7 on this benchmark. Sonar Pro Mini is 3.9 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 Pro Mini is 4.8 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 74.8 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 $8.02 per million input tokens, Sonar Pro 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
Mixtral Groq Groq 16384 $3.37 73.1
Phi-4 Chat Microsoft 65536 $3.66 74.7
Reka Flash Reka AI 128000 $9.95 74.1
GPT-5.2 Nano OpenAI 128000 $9.73 73.5
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Mixtral Groq Chat Groq 8192 $3.09 72.0
Auto Reasoning OpenRouter 65536 $8.39 71.5

Other benchmarks for Sonar Pro Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.8 358 40th
GPQA Diamond 68.7 303 50th
SWE-bench Verified 56.7 371 38th
HumanEval 77.4 301 50th
AIME 2025 64.0 356 41th
LiveCodeBench 59.3 375 38th
IFEval 77.9 369 39th
TruthfulQA 73.1 367 39th
HellaSwag 80.7 376 37th
MMMU 67.3 356 41th
Arena Elo 1354.4 356 41th

FAQ

What score does Sonar Pro Mini get on MATH-500?

Sonar Pro Mini scores 74.8 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Sonar Pro Mini rank on MATH-500?

It ranks #333 of 600 models, in the 45th percentile. The leader is GPT-5.2 Max at 96.7.

Is Sonar Pro 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 Pro Mini cost?

Sonar Pro Mini costs $8.02 per million input tokens and $28.92 per million output tokens.

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