Multimodal · Perplexity

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

Sonar Nano scores 59.2 on MMMU, placing it #438 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
59.2
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
27.7
points

Score distribution

The chart shows the top 10 models on MMMU, with Sonar Nano 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 Nano sits at #438 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 27.7 points. The median model in this index scores 70.0, which puts Sonar Nano below the midpoint.

Perplexity models average 71.2 on this benchmark. Sonar Nano is 12.0 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 65.0. Sonar Nano is 5.8 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 59.2 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 $4.37 per million input tokens, Sonar Nano 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 3.1 8B Meta AI 8192 $1.15 58.7
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Auto Mini OpenRouter 4096 $4.24 61.6
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 3.3 7B Meta AI 8192 $1.18 57.8
MiniMax-M2 8B MiniMax 32768 $1.65 61.7

Other benchmarks for Sonar Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.8 439 27th
GPQA Diamond 57.4 434 28th
SWE-bench Verified 48.4 435 28th
HumanEval 63.7 453 25th
MATH-500 66.7 411 32th
AIME 2025 50.6 456 24th
LiveCodeBench 55.1 404 33th
IFEval 70.7 446 26th
TruthfulQA 68.5 409 32th
HellaSwag 75.1 441 27th
Arena Elo 1303.0 413 31th

FAQ

What score does Sonar Nano get on MMMU?

Sonar Nano scores 59.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Sonar Nano rank on MMMU?

It ranks #438 of 600 models, in the 27th percentile. The leader is GPT-5.2 Max at 86.9.

Is Sonar Nano good at MMMU?

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 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 Nano cost?

Sonar Nano costs $4.37 per million input tokens and $16.96 per million output tokens.

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