Multimodal · Perplexity

Sonar Pro on MMMU: score, rank and what it means

Sonar Pro scores 71.5 on MMMU, placing it #259 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
71.5
0–100 scale
Rank
#259
of 600
Percentile
57th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
15.4
points

Score distribution

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

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

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-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Sonar Pro sits at #259 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 15.4 points. The median model in this index scores 70.0, which puts Sonar Pro above the midpoint.

Perplexity models average 71.2 on this benchmark. Sonar Pro is 0.2 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 74.3. Sonar Pro is 2.8 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 71.5 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 $11.25 per million input tokens, Sonar Pro is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Llama 4 Scout Base Meta AI 32768 $3.95 75.3
Mixtral Turbo Together AI 65536 $3.20 72.4
Sonar Pro Perplexity 65536 $11.25 77.1
Sonar Reasoning Perplexity 200000 $11.48 76.2
Firefunction Max Fireworks AI 32768 $9.12 73.2

Other benchmarks for Sonar Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.1 146 76th
GPQA Diamond 69.9 269 55th
SWE-bench Verified 67.4 160 73th
HumanEval 79.0 266 56th
MATH-500 82.3 158 74th
AIME 2025 75.0 154 74th
LiveCodeBench 72.4 140 77th
IFEval 83.7 221 63th
TruthfulQA 80.8 163 73th
HellaSwag 85.5 229 62th
Arena Elo 1413.5 175 71th

FAQ

What score does Sonar Pro get on MMMU?

Sonar Pro scores 71.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Sonar Pro rank on MMMU?

It ranks #259 of 600 models, in the 57th percentile. The leader is GPT-5.2 Max at 86.9.

Is Sonar Pro good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 cost?

Sonar Pro costs $11.25 per million input tokens and $46.14 per million output tokens.

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