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Pareto pricing

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. Pareto from OpenRouter costs $2.50 per 1M input tokens and $7.50 per 1M output tokens. Cached input is $0.250 per 1M. Context window 262,144 tokens.

API id unbiased/pareto · OpenRouter · source · updated 2026-09-25 · general-purpose

$2.50
Input / 1M tokens
$7.50
Output / 1M tokens
$0.250
Cached input / 1M
262K
Context window

Pareto specifications

Provider
OpenRouter
API id
unbiased/pareto
Model type
general-purpose
Context window
262K tokens
Max output
131K tokens
Currency
USD
Price source
Provider API
Last checked
2026-09-25

Tags

  • vision

What Pareto costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0063
Document summary50,0002,000$0.14
1M tokens in, 200K out1,000,000200,000$4.00

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does Pareto cost per 1M tokens?
Pareto costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on the standard tier. Cached input is $0.250 per 1M.
What is Pareto's context window?
Pareto accepts up to 262,144 tokens in a single request, and can return up to 131,072 output tokens.
Is there a cheaper OpenRouter model than Pareto?
Yes. OpenAI: GPT-3.5 Turbo is $0.500 per 1M input tokens versus $2.50 for Pareto, with a 16,385 token context window.
Where does this Pareto price come from?
From the OpenRouter catalogue, because OpenRouter does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from OpenRouter's own — verify before committing spend.

Head-to-head comparisons

Other OpenRouter models

See all OpenRouter pricing →