MiMo v2.5 In-Depth Review: The True Level of Xiaomi's AI Large Model

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MiMo v2.5 In-depth Review: The True Level of Xiaomi's AI Large Model

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In 2026, Xiaomi officially released its self-developed large model MiMo v2.5 PRO, marking Xiaomi's official entry from a phone manufacturer into the AI large modeltrack. As the first domestic manufacturer to simultaneously deploy on-device models and cloud-based large models, what surprises does Xiaomi bring this time?

We conducted a comprehensive test on the TokenCircle platform for MiMo v2.5 PRO. Below is the detailed review.


1. Model Overview

MiMo v2.5 PRO is Xiaomi's flagship self-developed large language model, equipped with the following core capabilities:

  • Deep Reasoning: Outstanding performance in math and logical reasoning tasks
  • Code Generation: Supports mainstream programming languages with high code quality
  • Visual Understanding: Supports image input for image analysis and description
  • Multilingual: Balanced Chinese and English abilities, with some foundation in minor languages
  • Long Context: Supports a context window of 128K tokens
  • Tool Calling: Natively supports function calling, compatible with OpenAI format

Capability Matrix


2. Benchmark Comparison

We selected 5 mainstream benchmarks to compare MiMo v2.5 PRO with DeepSeek V4 and GPT-4o:

Performance Comparison

Detailed Scores

Benchmark MiMo v2.5 PRO DeepSeek V4 GPT-4o
MATH Math Reasoning 83 79 76
HumanEval Code 88 85 82
GPQA Scientific Q&A 78 85 80
MMLU Knowledge 85 88 86
IFEval Instruction Following 82 80 79

Highlights:

  • πŸ“ Math Reasoning: MiMo leads with 83 points, showcasing Xiaomi's investment in reasoning capabilities
  • πŸ’» Code Generation: A score of 88 is very impressive, close to the level of top-tier models
  • πŸ“‹ Instruction Following: Highest IFEval score, indicating excellent understanding and execution of instructions

Weaknesses:

  • πŸ”¬ Scientific Q&A: Relatively low GPQA score, with room for improvement in specialized scientific fields

3. Real-World Scenario Testing

3.1 Chinese Writing Ability

We asked MiMo to write a short article on "Applications of Artificial Intelligence in the Medical Field":

MiMo Output Characteristics:

  • Clear article structure, logical coherence
  • Accurate wording, appropriate use of technical terms
  • Natural Chinese expression, no obvious translationese
  • Smooth transitions between paragraphs

Rating: β­β­β­β­β˜† (4/5)

3.2 Code Generation Ability

Test task: Implement a simple LRU cache in Python

class LRUCache:
    def __init__(self, capacity: int):
        self.capacity = capacity
        self.cache = {}
        self.order = []

    def get(self, key: int) -> int:
        if key in self.cache:
            self.order.remove(key)
            self.order.append(key)
            return self.cache[key]
        return -1

    def put(self, key: int, value: int) -> None:
        if key in self.cache:
            self.order.remove(key)
        elif len(self.cache) >= self.capacity:
            oldest = self.order.pop(0)
            del self.cache[oldest]
        self.cache[key] = value
        self.order.append(key)

MiMo Output Characteristics:

  • Correct code logic, complete functionality
  • Clear variable naming, good code style
  • Proactively provided usage examples
  • Code is directly runnable without modifications

Rating: ⭐⭐⭐⭐⭐ (5/5)


4. Response Speed Test

Test Item First Token Latency Generation Speed Total Time
Short reply (50 words) 0.8s 45 tokens/s 1.9s
Medium reply (200 words) 1.2s 42 tokens/s 5.8s
Long reply (500 words) 1.5s 40 tokens/s 13.5s
Code generation (100 lines) 1.8s 38 tokens/s 16.2s

5. Differentiation from Other Models

MiMo vs DeepSeek V4

Dimension MiMo v2.5 PRO DeepSeek V4
Math Reasoning ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐
Code Generation ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐
Chinese Writing ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐
Scientific Knowledge ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐
Response Speed ⭐⭐⭐⭐ ⭐⭐⭐⭐⭐
Price ⭐⭐⭐⭐⭐ ⭐⭐⭐⭐

  • Math and Logical Reasoning: Best performance in math benchmarks
  • Code Generation and Debugging: High code quality, strong debugging ability
  • Tool Calling and Agent: Comprehensive function calling support
  • Chinese Conversation and Writing: Natural and fluent Chinese expression

7. How to Access MiMo v2.5

Accessing MiMo v2.5 PRO via the TokenCircle platform is very simple:

from openai import OpenAI

client = OpenAI(
    base_url="https://www.ciyuano.com/v1",
    api_key="sk-relay-YourKey"
)

response = client.chat.completions.create(
    model="mimo-v2.5-pro",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

8. Summary

Overall Rating: β­β­β­β­β˜† (4.2/5)

Strengths:

  • πŸ† Outstanding math reasoning ability
  • πŸ’» High-quality code generation
  • πŸ”§ Comprehensive tool calling support
  • πŸ’° Excellent cost-performance ratio
  • πŸ‡¨πŸ‡³ Exceptional Chinese language ability

πŸ“’ Limited-time offer: MiMo v2.5 PRO and MiMo v2.5 are currently free to use until June 26, 2026. Come experience it on TokenCircle!

πŸ‘‰ Register Now | View Model Details | API Documentation

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