Price Per TokenPrice Per Token
Perplexity

Sonar Pro Search API Pricing 2026

Compare pricing, benchmarks, and providers for Sonar Pro Search. Find the best value for your use case.

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Last updated: February 3, 2026 at 08:06 AM

Overview

Sonar Pro Search was released on October 30, 2025. Pricing starts at $3.00 per million input tokens and $15.00 per million output tokens. The model supports a context window of up to 200K tokens. API access is available through Perplexity.

Context Window
200K
tokens
Pricing
Input$3.00
Output$15.00
per 1M tokens
Speed
Output-
TTFT-
median latency
Capabilities
Vision

Pricing Comparison

Compare Sonar Pro Search with 10 similar models by price.

Current Pricing (per 1M tokens)

11 models

Provider
Model
Input $/M
Output $/M
Coding
MMLU
GPQA
Context
Actions
$3.000
$15.000
200,000
$2.500
$10.000
31.7
52.1
128,000
$2.500
$2.000
400,000
$2.500
$10.000
128,000
$2.500
$10.000
28.7
71.2
52.7
256,000
$2.500
$10.000
128,000
$2.500
$12.500
31.7
73.3
56.9
1,000,000
$2.500
$10.000
8,000
$2.500
$10.000
8,000
$2.500
$10.000
31.7
52.1
128,000
$3.000
$15.000
131,072

* Some models use tiered pricing based on prompt length. Displayed prices are for prompts ≤ 200k tokens.

Compare Providers

Sonar Pro Search is available from multiple providers with different pricing and availability.

1
Providers
$3.000
Cheapest Input/M
$15.000
Cheapest Output/M
Perplexity
Best Price

Provider Pricing

1 models

Provider
Input $/M
Output $/M
Uptime
Perplexity
Perplexity
Best Price
$3.000
$15.000
100.0%
Provider pricing data sourced from OpenRouter and Helicone

Cost vs. Quality

Compare Sonar Pro Search's benchmark performance against all models.

X-axis:
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Frequently Asked Questions

Sonar Pro Search costs $0.003000 per 1,000 input tokens and $0.015000 per 1,000 output tokens.
Sonar Pro Search is available from 1 provider(s). Perplexity offers the best price.
We compare Sonar Pro Search with 10 similarly-priced models. See the benchmark scatter plot above to compare quality vs cost.

All Perplexity Models

See pricing for all Perplexity models.

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