PerplexitydeepVision

Sonar Reasoning Pro

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) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for advanced use cases, it supports in-depth, multi-step queries with a larger context window and can surface more citations per search, enabling more comprehensive and extensible responses.

128K context·~96K words·

View context details Compare with Amazon Titan Text Express

Context window128Ktokens

Context window

This model accepts 128K tokens in one request (~96K words of text).

Context window size128K tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Fits
Small codebase
About 150K words of text
Won't fit
Full novel
About 375K words of text
Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window: 128,000 tokens (128K)
Speed tier: deep
Provider: Perplexity
Release date: Mar 2025
Input cost: $2.00/M / 1M tokens
Output cost: $8.00/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (4)

Vision: Accepts image inputs alongside text; Supported
Extended thinking: Shows its chain-of-thought reasoning; Supported
Web search: Can browse the web during a request; Supported
Streaming: Returns tokens as they are generated; Supported

Not supported (4)

Tool use: Can call external tools and APIs; Not supported
Function calling: Structured function call interface; Not supported
Batch API: Process many requests asynchronously; Not supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Not supported

Best for

Jump to a guide or ranking that matches each workload.

Reasoning Multimodal Long documents RAG

Compare Sonar Reasoning Pro

Open a side-by-side comparison with one click.

Frequently asked questions

Short answers about context size and how this model behaves.

Sonar Reasoning Pro has a context window of 128K tokens (128,000 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

More from Perplexity

Other models by Perplexity in our catalog.

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savings Learn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent

Full history

Repeated info

Old context

With Mem0~20K tokens sent

Key memories

Current turn

80% less to send — works with any model