Can you control the reasoning budget on MiMo-V2.5-Pro?

MiMo-V2.5-Pro is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Can you call MiMo-V2.5-Pro with the OpenAI SDK you already use?

Yes. MiMo-V2.5-Pro is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to mimo-v2.5-pro . Keep your current request and response handling.

What is the rate limit for MiMo-V2.5-Pro?

The current model record does not publish a numeric rate limit for MiMo-V2.5-Pro. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

How does MiMo-V2.5-Pro compare with glm-5.1, and what should you compare?

MiMo-V2.5-Pro sits alongside glm-5.1 , grok-4-20-reasoning , grok-4.2 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

Does MiMo-V2.5-Pro have a free tier?

MiMo-V2.5-Pro is billed per use and the record publishes no free-tier allowance. The current published rates are input $0.4100 per 1M tokens and output $0.8190 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

Model detail

MiMo-V2.5-Pro

Provided by Xiaomi

Pay-as-you-go

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It can independently and autonomously complete professional tasks that would take human experts days or weeks, involving more than a thousand tool calls. Its context length of up to 1M makes it well suited for integration with a wide range of agent frameworks.

Model specs

Model ID: mimo-v2.5-pro

Context length: 1M
Max output: 128K
I/O modalities
Released: 2026-04

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.4100 /1M Tokens

Completion

$0.8190 /1M Tokens

Cache read

$0.0030 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Xiaomi’s flagship model, delivering strong performance in general agentic capabilities

What should you check before using it?

1,000,000 context, 128,000 output tokens

Xiaomi model that supports reasoning and structured output. Knowledge cutoff: 2024-12. Released 2026-04-22.

Why use it through MixRoute?

MiMo-V2.5-Pro keeps its 1,000,000-token context on one route

The full 1,000,000-token context stays reachable on the same route. MixRoute serves MiMo-V2.5-Pro on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID mimo-v2.5-pro and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

MiMo-V2.5-Pro supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

MiMo-V2.5-Pro can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

MiMo-V2.5-Pro supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

MiMo-V2.5-Pro supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

OpenAI SDK

Call MiMo-V2.5-Pro through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 1M

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

MiMo-V2.5-Pro was released on 2026-04-22. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

mimo-v2.5-pro

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs