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⚡ Run with API

MiMo-V2.5 is a native omnimodal model from Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, and improves on MiMo-V2-Omni in image and video perception.

Pricing: Input 80 credits / 1M tokens (≈ $0.40), Output 400 credits / 1M tokens (≈ $2.00).

Prices updated

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README
Complete guide to using MiMo-V2.5

MiMo-V2.5 API on ModelFold

MiMo-V2.5 is a native omnimodal model from Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, and improves on MiMo-V2-Omni in image and video perception. Try MiMo-V2.5 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the MiMo-V2.5 API

MiMo-V2.5 at a glance

MiMo-V2.5 is a chat model from Xiaomi. It accepts text, images, video and audio as input and returns text, with a context window of up to 1M tokens.

Use it without hosting anything

On ModelFold you call MiMo-V2.5 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of MiMo-V2.5

Up to 1M tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Understands images, video and audio

Besides text, MiMo-V2.5 accepts images, video and audio as input, so a single request can combine instructions with visual or other media.

Function calling

MiMo-V2.5 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

Reasoning mode

MiMo-V2.5 can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use MiMo-V2.5 on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how MiMo-V2.5 responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "mimo-v2-5" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with MiMo-V2.5

Audio and video analysis

Summarize recordings, meetings and video clips, extract key points and answer questions about their content.

Autonomous agents

Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.

Screenshot and image understanding

Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Frequently Asked Questions

What is MiMo-V2.5?⌄

MiMo-V2.5 is a native omnimodal model from Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, and improves on MiMo-V2-Omni in image and video perception.

Which inputs does MiMo-V2.5 support?⌄

MiMo-V2.5 accepts text, images, video and audio and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.

How long is the context window of MiMo-V2.5?⌄

Up to 1M tokens, shared between your input and the model’s output.

Does MiMo-V2.5 support function calling?⌄

Yes. MiMo-V2.5 supports tools / function calling through the standard tools parameter of the chat completions API.

How is MiMo-V2.5 billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call MiMo-V2.5 through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "mimo-v2-5", using your ModelFold API key as the Bearer token.

Rate card
Input80 credits 1M tokens≈ $0.40
Output400 credits 1M tokens≈ $2.00

Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.

Read API docs →AI Agents · Claude Code / Cursor / Trae →
Quick start
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mimo-v2-5","messages":[{"role":"user","content":"Hello"}]}'