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XiaomiMiMo/MiMo-V2.6-Flash pricing

MiMo-V2.6-Flash is the efficiency-balanced model in Xiaomi's MiMo-V2.6 series: a sparse Mixture-of-Experts model with 309B total and 15B activated parameters, natively omnimodal across text, image, video and audio, with a 1M-token context window. XiaomiMiMo/MiMo-V2.6-Flash from DeepInfra costs $0.140 per 1M input tokens and $0.280 per 1M output tokens. Cached input is $0.003 per 1M. Context window 1,048,576 tokens.

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

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

XiaomiMiMo/MiMo-V2.6-Flash specifications

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

Tags

  • fast

What XiaomiMiMo/MiMo-V2.6-Flash 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 XiaomiMiMo/MiMo-V2.6-Flash cost per 1M tokens?
XiaomiMiMo/MiMo-V2.6-Flash 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 XiaomiMiMo/MiMo-V2.6-Flash's context window?
XiaomiMiMo/MiMo-V2.6-Flash accepts up to 1,048,576 tokens in a single request.
Is there a cheaper DeepInfra model than XiaomiMiMo/MiMo-V2.6-Flash?
Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $0.140 for XiaomiMiMo/MiMo-V2.6-Flash, with a 1,048,576 token context window.
Where does this XiaomiMiMo/MiMo-V2.6-Flash 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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