Sonar Pro
Perplexity · released Mar 7, 2025
Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...
Specification
- Context window
- 200K
- Max output
- 8K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- No
- Uptime
- 100.0%
Intelligence
9.1
33th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
83 t/s
Median across providers
Latency
1.81s
Time to first token
Cost per task
$0.53
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- MMLU-Pro75.5%
- GPQA Diamond57.8%
- AIME 202529.0%
- LiveCodeBench27.5%
- SciCode22.6%
- Humanity's Last Exam6.6%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| MMLU-Pro | 75.5% |
| GPQA Diamond | 57.8% |
| AIME 2025 | 29.0% |
| LiveCodeBench | 27.5% |
| SciCode | 22.6% |
| Humanity's Last Exam | 6.6% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- 9.9
- R1 Distill Llama 70BDeepSeek9.8
- GPT-4.1 NanoOpenAI9.6
- SonarPerplexity9.4
- 9.4
- GPT-4o (2024-08-06)OpenAI9.4
- Sonar ProPerplexity9.1
- GPT-4o (2024-05-13)OpenAI8.4
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Qwen3 VL 30B A3B Instruct | 9.9 |
| R1 Distill Llama 70B | 9.8 |
| GPT-4.1 Nano | 9.6 |
| Sonar | 9.4 |
| Qwen2.5 72B Instruct | 9.4 |
| GPT-4o (2024-08-06) | 9.4 |
| Sonar Pro | 9.1 |
| GPT-4o (2024-05-13) | 8.4 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $3
- Output / 1M tokens
- $15
- Cached input / 1M
- Not offered
- Blended 3:1
- $6
One task, estimated
$0.53
- Input tokens
- 50,000
- Output tokens
- 25,000
- Profile
- Standard
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.