MiMo V2.5 API

Multimodal model with native visual and audio understanding on a 1M context, designed to reason and act across modalities in agentic workflows.

XiaomiText Generation1M contextProprietary EndpointNew

About MiMo V2.5

Multimodal model with native visual and audio understanding on a 1M context, designed to reason and act across modalities in agentic workflows.

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MiMo V2.5 specs

Model ID
mimo-v2-5
Provider
Xiaomi
Category
Text Generation
Context window
1M tokens
Max output
128,000 tokens
Input
text, image, video, audio
Output
text
Endpoints
POST /v1/chat/completions
POST /v1/responses
POST /v1/messages

MiMo V2.5 API pricing

Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.

Type
Spec
Rate
Input
per 1M prompt tokens
$0.70
Output
per 1M generated tokens
$1.40
Implicit cache read
per 1M cached input tokens
$0.014
Web Search
per call
$0.015
Compare on the full pricing page

How to call the MiMo V2.5 API

MiMo V2.5 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id mimo-v2-5. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mimo-v2-5",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'
Python (OpenAI SDK)
from openai import OpenAI

client = OpenAI(
    base_url="https://api.empiriolabs.ai/v1",
    api_key="YOUR_EMPIRIOLABS_API_KEY",
)

response = client.chat.completions.create(
    model="mimo-v2-5",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)
Full MiMo V2.5 API reference

MiMo V2.5 API parameters

Request parameters supported by the MiMo V2.5 API on EmpirioLabs. Defaults apply when a field is omitted.

ParameterTypeDefaultRange / valuesDescription
enable_thinkingbooleantrue-Enable extended thinking mode. Slower but improves reasoning-heavy tasks.
tool_web_searchbooleanfalse-Allow the model to perform web searches when needed.
web_search_forcebooleanfalse-Force the model to always run a web search before answering.
web_search_max_keywordnumber31 to 5Max number of keywords the model can use across web searches.
web_search_limitnumber51 to 10Max number of web searches the model can perform per request.
video_fpsnumber20.1 to 10Frames-per-second sampled from input video for analysis.
video_resolutionenumdefaultdefault, maxResolution at which input video is sampled (e.g. 360p, 480p, 720p).
temperaturenumber0.70 to 2Sampling temperature. 0 = deterministic, 2 = maximum randomness.
top_pnumber0.90 to 1Nucleus sampling probability mass. Lower = more focused.
max_tokensnumber40961 to 65536Maximum tokens in the response.
stopstring--Up to 4 strings where the model will stop generating further tokens.
disable_formattingbooleanfalse-Skip the EmpirioLabs Markdown formatting (citation [[N]](url) rewriting + References block when web search was used). The raw upstream answer with plain [N]...

Good to know

Omnimodal input (text, image, video, audio) with text output. Web search ($0.015/call) is charged only when invoked. Cached input tokens are billed at a steep discount.

MiMo V2.5 API: common questions

How much does the MiMo V2.5 API cost?

On EmpirioLabs, MiMo V2.5 is billed pay as you go: Input $0.70 per 1M prompt tokens; Output $1.40 per 1M generated tokens; Implicit cache read $0.014 per 1M cached input tokens. The live rate card on this page always matches what the API charges.

What is the context window of MiMo V2.5?

MiMo V2.5 supports a 1M-token context window with up to 128,000 output tokens per response.

Is the MiMo V2.5 API OpenAI-compatible?

Yes. MiMo V2.5 serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to mimo-v2-5.

Can I try MiMo V2.5 in the browser before integrating?

Yes. The EmpirioLabs playground runs MiMo V2.5 in the browser with the same parameters the API exposes, so you can test prompts before writing code.

How do I get a MiMo V2.5 API key?

Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.

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