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Xiaomi
xiaomi/mimo-v2.6-flashCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Xiaomi xiaomi/mimo-v2.6-flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...
MiMo-V2.6-Flash earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GLM 5.2 instead - $0.01 per million input tokens against $0.14 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs MiMo-V2.6-Flash
targets:
- id: mimo-v2-6-flash
kind: llm
name: MiMo-V2.6-Flash
metadata:
model: xiaomi/mimo-v2.6-flash # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1050000
cost:
usd_per_1k_tokens: 0.000210Input list price per million tokens; MiMo-V2.6-Flash is the cheapest of 5 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.003 per 1M · weights on Hugging Face as XiaomiMiMo/MiMo-V2.6-Flash-RL
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
