Xiaomiactive

MiMo-V2.5-Pro

Released at: April 22, 2026

API StatusAvailable for integration
Context Window1,050,000 tokens✓ verified 1d ago
Input Price / MTok$0.43✓ verified 1d ago
Output Price / MTok$0.87✓ verified 1d ago

Model Overview

Xiaomi · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

MiMo-V2.5-Pro by Xiaomi — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

MiMo-V2.5-Pro is an advanced artificial intelligence model engineered by Xiaomi. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, MiMo-V2.5-Pro represents a key architectural iteration in the Xiaomi model family. First released in 2026-04-22, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), MiMo-V2.5-Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for MiMo-V2.5-Pro based on verified provider metadata:

  • Model Name: MiMo-V2.5-Pro
  • Developer / Provider: Xiaomi
  • Context Window Capacity: 1,050,000 tokens (~1,400 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

MiMo-V2.5-Pro undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for MiMo-V2.5-Pro follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "mimo-v2-5-pro",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), MiMo-V2.5-Pro is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 1,050,000 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize MiMo-V2.5-Pro for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for MiMo-V2.5-Pro:

  • Input Token Cost: $0.43 per MTok
  • Output Token Cost: $0.87 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**MiMo-V2.5-Pro**Provider Ecosystem Baseline
DeveloperXiaomiIndustry Average
Context Window1,050,000 tokens128,000 tokens
Input Price / MTok$0.43Variable
Output Price / MTok$0.87Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is MiMo-V2.5-Pro's context window limit?§

A: MiMo-V2.5-Pro supports an input context window of 1,050,000 tokens.

Q: What is the API pricing for MiMo-V2.5-Pro?§

A: MiMo-V2.5-Pro is priced at $0.43 per million input tokens and $0.87 per million output tokens.

Q: Is MiMo-V2.5-Pro accessible via API?§

A: Yes, MiMo-V2.5-Pro is available for programmatic integration.

Developer
Xiaomi✓ verified 1d ago
Release Date
April 22, 2026✓ verified 1d ago
Context Window
1,050,000 tokens1,400 words✓ verified 1d ago
API Access
Publicly AvailableIntegrate via official API✓ verified 1d ago
Input Cost
$0.43per million tokens✓ verified 1d ago
Output Cost
$0.87per million tokens✓ verified 1d ago
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Vetted Benchmarks

HellaSwag(estimated)Score: 87.6% (Top 30%)
MMLU(estimated)Score: 86.6% (Top 31%)
HumanEval(estimated)Score: 85.8% (Top 34%)
MATH(estimated)Score: 67.0% (Top 31%)
MT-Bench(estimated)Score: 9.0 (Top 26%)
GPQA(estimated)Score: 48.4% (Top 31%)

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Originally published on llmdb.app

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