Sonar
Perplexity · released Jan 27, 2025
Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...
Specification
- Context window
- 127K
- Max output
- 114K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- No
- Uptime
- 100.0%
Intelligence
7.7
29th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
82 t/s
Median across providers
Latency
2.38s
Time to first token
Cost per task
$0.08
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-Pro68.9%
- AIME 202548.7%
- GPQA Diamond47.1%
- LiveCodeBench29.5%
- Humanity's Last Exam4.9%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| MMLU-Pro | 68.9% |
| AIME 2025 | 48.7% |
| GPQA Diamond | 47.1% |
| LiveCodeBench | 29.5% |
| Humanity's Last Exam | 4.9% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- 7.9
- Solar Pro 3Upstage7.8
- GPT-4.1 NanoOpenAI7.8
- SonarPerplexity7.7
- 7.7
- GPT-4o (2024-08-06)OpenAI7.7
- Sonar ProPerplexity7.6
- 7.3
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 | 7.9 |
| Solar Pro 3 | 7.8 |
| GPT-4.1 Nano | 7.8 |
| Sonar | 7.7 |
| Qwen2.5 72B Instruct | 7.7 |
| GPT-4o (2024-08-06) | 7.7 |
| Sonar Pro | 7.6 |
| Qwen3 VL 8B Instruct | 7.3 |
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
- $1
- Output / 1M tokens
- $1
- Cached input / 1M
- Not offered
- Blended 3:1
- $1
One task, estimated
$0.08
- 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.