Multimodal · Perplexity

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

Sonar Pro Pro scores 78.9 on MMMU, placing it #77 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
78.9
0–100 scale
Rank
#77
of 600
Percentile
87th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
8.0
points

Score distribution

The chart shows the top 10 models on MMMU, with Sonar Pro 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 Pro sits at #77 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 8.0 points. The median model in this index scores 70.0, which puts Sonar Pro Pro above the midpoint.

Perplexity models average 71.2 on this benchmark. Sonar Pro Pro is 7.7 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 Pro is 4.6 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 78.9 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 MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Grok 3 Pro xAI 400000 $16.61 83.8
Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Claude 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Qwen3-Max Turbo Alibaba Cloud 1000000 $17.70 84.7

Other benchmarks for Sonar Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 202 66th
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
Arena Elo 1434.0 111 82th

FAQ

What score does Sonar Pro Pro get on MMMU?

Sonar Pro Pro scores 78.9 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Sonar Pro Pro rank on MMMU?

It ranks #77 of 600 models, in the 87th percentile. The leader is GPT-5.2 Max at 86.9.

Is Sonar Pro 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 Pro cost?

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

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