perplexity

Perplexity: Sonar Pro

The Sonar Pro is an AI model developed by Perplexity that accepts both text and image inputs. It operates within a context length of 200,000 tokens and supports up to 8,000 completion tokens. Sonar Pro may be worth shortlisting for those with specific use cases involving multimodal input or who require a high level of contextual understanding. However, its cost is relatively steep, priced at $3 per million input tokens and $15 per million output tokens. The model's performance is reflected in its blended benchmark score of 7.8 across one independent benchmark, but further evaluation may be necessary to determine its viability for specific applications.

Quality Score
76/100
price + capability + benchmarks
Input Price
$3.00
per 1M tokens · checked 2026-10-13
Output Price
$15.00
per 1M tokens · checked 2026-10-13
Context Window
200,000
tokens

Benchmark results

Independent, published benchmarks. Blended score 7.2 across 1 benchmark, last refreshed 2026-10-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 12.6
Model ID
perplexity/sonar-pro
Vendor
perplexity
Released
March 2025
Tokenizer
Other
Input Modalities
text, image
Output Modalities
text
Max Output
8,000 tokens
Tool Calling
not supported
Structured Output
not supported
Reasoning Mode
not supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $3.00/M input and $15.00/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.11
Classify 1,000 customer emails 500k in / 50k out $2.25
A month of a busy support chatbot 5M in / 2M out $45.00

Similar models

Quick answers

How much does Perplexity: Sonar Pro cost?
$3.00 per million input tokens and $15.00 per million output tokens.
What is Perplexity: Sonar Pro's context window?
200,000 tokens, roughly 300 pages of text in a single request.
Can Perplexity: Sonar Pro process images?
Yes, it accepts image input.

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