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AI model

Xiaomi: MiMo-V2.5 (Free)

xiaomi/mimo-v2.5:free

Xiaomi: MiMo-V2.5 (Free) is a 1,050,000-token model free on Composite. Ranked #155 of 204 models by traffic on Composite over the last 30 days, taking 0% of tokens and 0% of requests. Measured on Composite, 100.0% of its last 6 requests on Composite succeeded, the typical first token arrives in 41868 ms, output runs at about 17.2 tokens per second.

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Specifications

Specifications and pricing as served by Composite
Model IDxiaomi/mimo-v2.5:free
Providercv11
Context window1,050,000 tokens
Acceptstext, audio, image, video
Returnstext
Input priceIncluded in free allowance
Output priceIncluded in free allowance
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
ModeratedNo
Cost on a monthly planFree - does not spend plan credits
Routing endpoints1

Traffic rank on Composite

#155 of 204

0% of tokens and 0% of requests over 30 days.

Success rate

100.0%

Across the last 6 requests Composite served for this model.

Time to first token

41868 ms

Median across the same sample.

Output speed

17.2 tok/s

Median generation rate after the first token.

Pricing

Free - 80 requests/day shared across free models

Credits pay the provider’s price plus 25%; cache hits cost less.

Monthly plans serve this model without spending any of their included credits.

Provider

cv11

Roleplay fit

MiMo models are a newer entrant focused on efficient inference, which tends to show up as lower latency per reply.

Context behavior

With a 1,050,000-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It is free on Composite, which makes it a reasonable place to test a character card, preset or lorebook before connecting your own provider.

From the provider

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 understanding...

Supplied by cv11, not written by Composite.