Model Comparison

MAI-Thinking-1 vs MiMo-V2.5Which is better in 2026?

MiMo-V2.5 shows notably better performance in the majority of benchmarks.

Verdict: MAI-Thinking-1 vs MiMo-V2.5 — which is better?

MAI-Thinking-1 (by Microsoft) and MiMo-V2.5 (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MAI-Thinking-1 outperforms in 1 benchmarks (GraphWalks), while MiMo-V2.5 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0). MiMo-V2.5 shows notably better performance in the majority of benchmarks.

Choose MAI-Thinking-1 if…

  • you want the most recent training data — it shipped Jun 2026

Choose MiMo-V2.5 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

MAI-Thinking-1 outperforms in 1 benchmarks (GraphWalks), while MiMo-V2.5 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0).

MiMo-V2.5 shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

689.2B diff

MAI-Thinking-1 has 689.2B more parameters than MiMo-V2.5, making it 221.8% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
1000.0B
MAI-Thinking-1
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

Only MiMo-V2.5 specifies input context (1,048,576 tokens). Only MiMo-V2.5 specifies output context (131,072 tokens).

Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MiMo-V2.5 supports multimodal inputs, whereas MAI-Thinking-1 does not.

MiMo-V2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MAI-Thinking-1

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

MAI-Thinking-1 is licensed under a proprietary license, while MiMo-V2.5 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

MAI-Thinking-1

Proprietary

Closed source

MiMo-V2.5

MIT

Open weights

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while MiMo-V2.5 was released on 2026-04-22.

MAI-Thinking-1 is 1 month newer than MiMo-V2.5.

MAI-Thinking-1

Jun 2, 2026

1 months ago

1mo newer
MiMo-V2.5

Apr 22, 2026

2 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Microsoft
Higher GraphWalks score (90.0% vs 87.0%)
Xiaomi
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Has open weights
Higher SWE-Bench Pro score (56.1% vs 52.8%)
Higher Terminal-Bench 2.0 score (65.8% vs 46.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MAI-Thinking-1 and MiMo-V2.5 side-by-side, then vote on the output you prefer.

MAI-Thinking-1
✓ Preferred
MiMo-V2.5
Open in Playground
AI Model Comparison Table
Feature
Microsoft
MAI-Thinking-1
Xiaomi
MiMo-V2.5

FAQ

Common questions about MAI-Thinking-1 vs MiMo-V2.5.

Which is better, MAI-Thinking-1 or MiMo-V2.5?

MiMo-V2.5 shows notably better performance in the majority of benchmarks. MAI-Thinking-1 is made by Microsoft and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MAI-Thinking-1 compare to MiMo-V2.5 in benchmarks?

MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

What are the context window sizes for MAI-Thinking-1 and MiMo-V2.5?

MAI-Thinking-1 supports an unknown number of tokens and MiMo-V2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MAI-Thinking-1 and MiMo-V2.5?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Thinking-1 and MiMo-V2.5?

MAI-Thinking-1 is developed by Microsoft and MiMo-V2.5 is developed by Xiaomi.

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