Sonar Models by Perplexity Labs
Last refreshed 2026-05-25. Next refresh: weekly.
Details
Capabilities
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WebsiteAbout
The Sonar family of Large Language Models (LLMs), developed by Perplexity AI, marks a notable progression in terms of cost-efficiency, speed, and performance compared to predecessors like PPLX and Mixtral 5. These models are distinct for their ability to provide real-time internet access and deliver up-to-date information, which is a significant improvement over traditional LLMs 5. The Sonar family comprises different model configurations, such as "small" and "large" models, each tailored for specific tasks and featuring varying context window lengths 67. Built upon the foundation of the Llama 3.1 model, Sonar models are further refined with Perplexity's proprietary search capabilities to enhance accuracy and relevance 10. They offer both online and chat versions, catering to a wide range of applications that require either rapid responses or more extended conversational interactions 57. Additionally, these models are available through APIs, facilitating their integration into various applications seamlessly 67.
Decision facts
- Best fit
- structured outputs
- Capability starting point
- Sonar Pro Search with 200k context and structured outputs
- Lowest tracked input
- Sonar · $1/1M · OpenRouter
- Closest related family
- Claude 5
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 200k context and structured outputs.
Use when the workload needs 128k context and structured outputs.
Use when the workload needs 128k context and structured outputs.
Use when the workload needs 127k context and structured outputs.
Use when the workload needs 200k context and structured outputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Sonar Pro Search | Use when the workload needs 200k context and structured outputs. | 2025-11 | 200k contextstructured outputs | Current |
| Sonar Deep Research | Use when the workload needs 128k context and structured outputs. | 2025-03 | 128k contextstructured outputs | Current |
| Sonar Reasoning Pro | Use when the workload needs 128k context and structured outputs. | 2025-03 | 128k contextstructured outputs | Current |
| Sonar | Use when the workload needs 127k context and structured outputs. | 2025-01 | 127k contextstructured outputs | Current |
| Sonar Pro | Use when the workload needs 200k context and structured outputs. | 2025-01 | 200k contextstructured outputs | Current |
Release Timeline
3 release groupsReplaced By
Keep for legacy integrations; evaluate Sonar Reasoning Pro before new work.
Specifications(6 models)
| Model | Released | Context | Structured Outputs |
|---|---|---|---|
| Sonar Pro Search | 2025-11 | 200k | Yes |
| Sonar Deep Research | 2025-03 | 128k | Yes |
| Sonar Reasoning Pro | 2025-03 | 128k | Yes |
| Sonar | 2025-01 | 127k | Yes |
| Sonar Pro | 2025-01 | 200k | Yes |
Available From(3 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Sonar | OpenRouter | $1 | $1 | Serverless |
| Sonar | Perplexity Labs | $1 | $1 | Serverless |
| Sonar Reasoning Pro | OpenRouter | $2 | $8 | Serverless |
| Sonar Deep Research | OpenRouter | $2 | $8 | Serverless |
| Sonar Reasoning Pro | Perplexity Labs | $2 | $8 | Serverless |
| Sonar Deep Research | Perplexity Labs | $2 | $8 | Serverless |
| Sonar Pro | OpenRouter | $3 | $15 | Serverless |
| Sonar Pro Search | OpenRouter | $3 | $15 | Serverless |
| Sonar Pro | Perplexity Labs | $3 | $15 | Serverless |
