Knowledge · Perplexity

Sonar Pro Pro on MMLU-Pro: score, rank and what it means

Sonar Pro Pro scores 79.4 on MMLU-Pro, placing it #202 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
79.4
0–100 scale
Rank
#202
of 600
Percentile
66th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
12.2
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Sonar Pro Pro highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Sonar Pro Pro sits at #202 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 12.2 points. The median model in this index scores 76.1, which puts Sonar Pro Pro above the midpoint.

Perplexity models average 77.4 on this benchmark. Sonar Pro Pro is 2.0 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 80.0. Sonar Pro Pro is 0.6 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 79.4 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 $13.59 per million input tokens, Sonar Pro Pro is above the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 Microsoft 200000 $3.96 75.4
Gemini 3 Pro Mini Google DeepMind 128000 $12.27 78.1
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Codestral Mistral AI 65536 $4.19 77.6
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0

Other benchmarks for Sonar Pro Pro

BenchmarkScoreRankPercentileRelative
GPQA Diamond 72.6 210 65th
SWE-bench Verified 69.7 118 80th
HumanEval 83.0 160 73th
MATH-500 81.9 169 72th
AIME 2025 80.6 80 87th
LiveCodeBench 74.2 105 83th
IFEval 87.9 105 83th
TruthfulQA 79.3 208 65th
HellaSwag 88.7 122 80th
MMMU 78.9 77 87th
Arena Elo 1434.0 111 82th

FAQ

What score does Sonar Pro Pro get on MMLU-Pro?

Sonar Pro Pro scores 79.4 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Sonar Pro Pro rank on MMLU-Pro?

It ranks #202 of 600 models, in the 66th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Sonar Pro Pro good at MMLU-Pro?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Pro cost?

Sonar Pro Pro costs $13.59 per million input tokens and $73.47 per million output tokens.

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