Sonar Pro Mini on MMMU: score, rank and what it means
Sonar Pro Mini scores 67.3 on MMMU, placing it #356 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Sonar Pro Mini highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Mini sits at #356 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 19.6 points. The median model in this index scores 70.0, which puts Sonar Pro Mini below the midpoint.
Perplexity models average 71.2 on this benchmark. Sonar Pro Mini is 4.0 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 Pro Mini is 2.3 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 67.3 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 MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Nova Lite Turbo | Amazon | 8192 | $9.14 | 73.2 |
| Firesearch | Fireworks AI | 32768 | $7.03 | 68.5 |
| Firefunction Reasoning | Fireworks AI | 8192 | $9.08 | 72.5 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Yi-Lightning Base | 01.AI | 16384 | $3.31 | 72.7 |
| Llama 3.1 Turbo Base | Together AI | 16384 | $3.30 | 73.0 |
Other benchmarks for Sonar Pro Mini
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 73.8 | 358 | 40th | |
| GPQA Diamond | 68.7 | 303 | 50th | |
| SWE-bench Verified | 56.7 | 371 | 38th | |
| HumanEval | 77.4 | 301 | 50th | |
| MATH-500 | 74.8 | 333 | 45th | |
| 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 | |
| Arena Elo | 1354.4 | 356 | 41th |
FAQ
What score does Sonar Pro Mini get on MMMU?
Sonar Pro Mini scores 67.3 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Sonar Pro Mini rank on MMMU?
It ranks #356 of 600 models, in the 41st percentile. The leader is GPT-5.2 Max at 86.9.
Is Sonar Pro Mini 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 Pro Mini cost?
Sonar Pro Mini costs $8.02 per million input tokens and $28.92 per million output tokens.