Sonar Pro Reasoning on GPQA Diamond: score, rank and what it means
Sonar Pro Reasoning scores 76.2 on GPQA Diamond, placing it #116 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Sonar Pro Reasoning highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Sonar Pro Reasoning sits at #116 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 10.8 points. The median model in this index scores 68.8, which puts Sonar Pro Reasoning above the midpoint.
Perplexity models average 70.7 on this benchmark. Sonar Pro Reasoning is 5.5 points above that provider line, so it is a stronger result than the average Perplexity model.
Among multimodal models, the average is 73.5. Sonar Pro Reasoning is 2.7 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 76.2 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 $13.94 per million input tokens, Sonar Pro Reasoning is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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 |
|---|---|---|---|---|
| Command A Reasoning | Cohere | 400000 | $13.74 | 80.2 |
| Claude Opus 4.5 Mini | Anthropic | 65536 | $12.72 | 79.0 |
| DeepSeek-R1 Base | DeepSeek | 400000 | $5.05 | 80.1 |
| ERNIE 4.0 Turbo | Baidu | 65536 | $12.00 | 78.0 |
| Sonar Pro Reasoning | Perplexity | 128000 | $13.94 | 80.5 |
| Doubao 1.5 Pro Max | ByteDance | 400000 | $14.93 | 81.2 |
| GPT-4.1 | OpenAI | 1000000 | $15.71 | 82.4 |
Other benchmarks for Sonar Pro Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 82.6 | 112 | 81th | |
| SWE-bench Verified | 71.7 | 82 | 86th | |
| HumanEval | 82.7 | 166 | 72th | |
| MATH-500 | 85.1 | 108 | 82th | |
| AIME 2025 | 73.7 | 194 | 68th | |
| LiveCodeBench | 75.6 | 90 | 85th | |
| IFEval | 87.1 | 131 | 78th | |
| TruthfulQA | 84.4 | 77 | 87th | |
| HellaSwag | 89.9 | 89 | 85th | |
| MMMU | 76.1 | 137 | 77th | |
| Arena Elo | 1439.7 | 97 | 84th |
FAQ
What score does Sonar Pro Reasoning get on GPQA Diamond?
Sonar Pro Reasoning scores 76.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Sonar Pro Reasoning rank on GPQA Diamond?
It ranks #116 of 600 models, in the 81st percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Sonar Pro Reasoning good at GPQA Diamond?
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 GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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 Reasoning cost?
Sonar Pro Reasoning costs $13.94 per million input tokens and $72.76 per million output tokens.