NOUMENOpen app
NOUMEN

xiaomi · Open weights

MiMo V2.5

Added Apr 22, 2026Open weights

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Use in the app

MiMo V2.5 is Xiaomi's full-modal understanding model for agent workflows. It supports tool calling, structured outputs, and web search with up to 1M context.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • Audio input
  • Video input
Input
Text, Images, Video, Audio
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.14
Output
$0.28
Cache read
$0.0028
Cache write
$0.00

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
131.1K
Average output (7 days)
458 tokens
Longer than 45% of 465 models

Side by side

Compare models

Put MiMo V2.5 next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

TryOpenAI o3-pro (2025-06-10)Kimi K2 ThinkingDeepSeek V3.2 ThinkingAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

21.8

Better than 52% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    56.8

    Composite of the coding evaluations

    Better than 56% of 168 scored models

Agentic work

  • AutomationBench-AA

    18.4%

    Workflow automation, penalized for guardrail violations

    Better than 39% of 173 scored models

  • AutomationBench-AA tasks completed

    3.3%

    Workflows finished end to end without a guardrail violation

    Better than 42% of 173 scored models

  • AA-Briefcasev1.1

    754 Elo

    Agentic knowledge work, rated head to head

    Better than 27% of 166 scored models

  • GDPval-AAv2.1

    996 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 34% of 187 scored models

Document reasoning

  • GDP.pdf

    4.0%

    Professional reasoning over PDF documents, all-pass rate

    Better than 17% of 171 scored models

  • AA-LCRv1.1

    73.0%

    Reasoning across long documents

    Better than 54% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    27.2%

    Expert-level questions across academic fields

    Better than 57% of 323 scored models

  • GPQA Diamond

    84.9%

    Graduate-level science questions

    Better than 60% of 291 scored models

  • IFBench

    67.1%

    Following precise output instructions

    Better than 65% of 215 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    43.9%

    Scientific computing in Python

    Better than 27% of 174 scored models

Legacy evaluations

  • Terminal-Bench Hard

    41.7%

    Earlier terminal task suite

    Better than 78% of 212 scored models

  • τ²-Bench Telecom

    90.6%

    Tool use in a customer-support simulation

    Better than 76% of 214 scored models

  • AA-LCR (unversioned)

    73.0%

    Long-context reasoning, earlier grading

    Better than 54% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
61.3 tok/s
Faster than 41% of 250 models
Time to first token
5.0 s
Quicker than 33% of 250 models
Prompt cache hits
77.6%
About $0.0336 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 95.3%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xiaomi/mimo-v2.5",
    "reasoning_effort": "none",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="xiaomi/mimo-v2.5",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

xiaomi

Other xiaomi models, starting with the same family.