perplexity
Perplexity: Sonar Pro
perplexity/sonar-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes perplexity/sonar-pro as a Perplexity model that accepts text and image inputs, produces text, and offers a 200,000-token context window. The listing exposes web_search_options plus common sampling controls, and positions it for complex, multistep queries and extensible enterprise use. The available evidence is catalog metadata rather than an independent model card, so these are source-reported capabilities rather than measured results.[1]
Strengths
Limitations
- Only OpenRouter catalog data was supplied; an independent model card was not available in this source pack.[1]
- No benchmark scores, evaluations, safety details, license terms, or hardware requirements were provided, so real workload validation is needed.[1]
- The catalog lists text as the sole output modality; image input does not imply image generation.[1]
Where to use it
- Potentially useful for research assistants that combine long prompts, image inputs, and configurable web-search behavior.[1]
- May fit enterprise question-answering workflows that need multistep retrieval and tunable generation controls.[1]
- Could be evaluated for document- or screenshot-grounded summarization that returns text.[1]
Sources
- [1] OpenRouter catalog · Perplexity: Sonar ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- perplexity/sonar-pro
- Creator
- perplexity
- Added to OpenRouter
- 07.03.2025
- Context length
- 200,000
- Modality
- text+image->text
- Input modalities
- text, image
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $3 / out $15
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Perplexity | 200,000 | $3 | $15 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.