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Xiaomi: MiMo-V2.5 pricing

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video… Xiaomi: MiMo-V2.5 from OpenRouter costs $0.140 per 1M input tokens and $0.280 per 1M output tokens. Cached input is $0.003 per 1M. Context window 1,050,000 tokens.

API id xiaomi/mimo-v2.5 · OpenRouter · source · updated 2026-09-25 · general-purpose

$0.140
Input / 1M tokens
$0.280
Output / 1M tokens
$0.003
Cached input / 1M
1.1M
Context window

Xiaomi: MiMo-V2.5 specifications

Provider
OpenRouter
API id
xiaomi/mimo-v2.5
Model type
general-purpose
Context window
1.1M tokens
Max output
131K tokens
Currency
USD
Price source
Provider API
Last checked
2026-09-25

Tags

  • vision

What Xiaomi: MiMo-V2.5 costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0003
Document summary50,0002,000$0.0076
1M tokens in, 200K out1,000,000200,000$0.20

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

Common questions

How much does Xiaomi: MiMo-V2.5 cost per 1M tokens?
Xiaomi: MiMo-V2.5 costs $0.140 per 1M input tokens and $0.280 per 1M output tokens on the standard tier. Cached input is $0.003 per 1M.
What is Xiaomi: MiMo-V2.5's context window?
Xiaomi: MiMo-V2.5 accepts up to 1,050,000 tokens in a single request, and can return up to 131,072 output tokens.
Is there a cheaper OpenRouter model than Xiaomi: MiMo-V2.5?
Yes. MythoMax 13B is $0.080 per 1M input tokens versus $0.140 for Xiaomi: MiMo-V2.5, with a 8,192 token context window.
Where does this Xiaomi: MiMo-V2.5 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 →