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XiaomiMiMo/MiMo-V2.6-Pro pricing

MiMo-V2.6-Pro is the flagship of Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 1.02T total and 42B activated parameters, natively omnimodal across text, image, video and audio, with a 1M-token context window. XiaomiMiMo/MiMo-V2.6-Pro from DeepInfra costs $0.435 per 1M input tokens and $0.870 per 1M output tokens. Cached input is $0.004 per 1M. Context window 1,048,576 tokens.

API id XiaomiMiMo/MiMo-V2.6-Pro · DeepInfra · source · updated 2026-09-25 · general-purpose

$0.435
Input / 1M tokens
$0.870
Output / 1M tokens
$0.004
Cached input / 1M
1M
Context window

XiaomiMiMo/MiMo-V2.6-Pro specifications

Provider
DeepInfra
API id
XiaomiMiMo/MiMo-V2.6-Pro
Model type
general-purpose
Context window
1M tokens
Max output
not published
Currency
USD
Price source
Provider API
Last checked
2026-09-25

Tags

  • flagship

What XiaomiMiMo/MiMo-V2.6-Pro costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0009
Document summary50,0002,000$0.02
1M tokens in, 200K out1,000,000200,000$0.61

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

Common questions

How much does XiaomiMiMo/MiMo-V2.6-Pro cost per 1M tokens?
XiaomiMiMo/MiMo-V2.6-Pro costs $0.435 per 1M input tokens and $0.870 per 1M output tokens on the standard tier. Cached input is $0.004 per 1M.
What is XiaomiMiMo/MiMo-V2.6-Pro's context window?
XiaomiMiMo/MiMo-V2.6-Pro accepts up to 1,048,576 tokens in a single request.
Is there a cheaper DeepInfra model than XiaomiMiMo/MiMo-V2.6-Pro?
Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $0.435 for XiaomiMiMo/MiMo-V2.6-Pro, with a 1,048,576 token context window.
Where does this XiaomiMiMo/MiMo-V2.6-Pro price come from?
From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.

Head-to-head comparisons

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