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xiaomi · Open weights

MiMo V2.5 Pro

Added Apr 22, 2026Open weights

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Use in the app

MiMo V2.5 Pro is Xiaomi's long-context flagship general model for coding and agentic orchestration. It supports tool calling and structured outputs with up to 1M context.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.44
Output
$0.87
Cache read
$0.0036
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)
596 tokens
Longer than 55% of 465 models

Side by side

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TryGLM 5.1 TEEKimi K2.7 Code TEEInkling SmallAll 3

Public evaluations

Benchmarks

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

Intelligence Index

26.0

Better than 64% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    60.2

    Composite of the coding evaluations

    Better than 60% of 168 scored models

Agentic work

  • AutomationBench-AA

    13.7%

    Workflow automation, penalized for guardrail violations

    Better than 36% of 173 scored models

  • AutomationBench-AA tasks completed

    2.0%

    Workflows finished end to end without a guardrail violation

    Better than 35% of 173 scored models

  • AA-Briefcasev1.1

    883 Elo

    Agentic knowledge work, rated head to head

    Better than 39% of 166 scored models

  • GDPval-AAv2.1

    1,121 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 48% 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

    79.7%

    Reasoning across long documents

    Better than 75% of 309 scored models

  • MLCR-AA

    5.6%

    Long-context reasoning over medical records

    Better than 18% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    35.7%

    Expert-level questions across academic fields

    Better than 69% of 323 scored models

  • GPQA Diamond

    86.6%

    Graduate-level science questions

    Better than 66% of 291 scored models

  • IFBench

    79.9%

    Following precise output instructions

    Better than 96% of 215 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    50.6%

    Scientific computing in Python

    Better than 52% of 174 scored models

Legacy evaluations

  • Terminal-Bench Hard

    43.2%

    Earlier terminal task suite

    Better than 80% of 212 scored models

  • τ²-Bench Telecom

    94.2%

    Tool use in a customer-support simulation

    Better than 82% of 214 scored models

  • AA-LCR (unversioned)

    79.7%

    Long-context reasoning, earlier grading

    Better than 75% 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
26.1 tok/s
Faster than 16% of 250 models
Time to first token
5.6 s
Quicker than 28% of 250 models
Prompt cache hits
78.0%
About $0.0985 per 1M input tokens with caching
Request success (24h)
99.9%
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 85.7%
  • 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-pro",
    "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-pro",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

xiaomi

Other xiaomi models, starting with the same family.