Model Comparison

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

MAI-Thinking-1 has a slight edge in benchmark performance.

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

MAI-Thinking-1 (by Microsoft) and MiMo-V2.5-Pro (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 4 benchmarks (GPQA, GraphWalks, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 3 benchmarks (SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0). MAI-Thinking-1 has a slight edge in benchmark performance.

Choose MAI-Thinking-1 if…

  • you want the strongest raw capability — it leads on 4 of 7 shared benchmarks
  • you want the most recent training data — it shipped Jun 2026

Choose MiMo-V2.5-Pro if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

MAI-Thinking-1 outperforms in 4 benchmarks (GPQA, GraphWalks, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 3 benchmarks (SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).

MAI-Thinking-1 has a slight edge in benchmark performance.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.2B diff

MiMo-V2.5-Pro has 23.2B more parameters than MAI-Thinking-1, making it 2.3% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
1000.0B
MAI-Thinking-1
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

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

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

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while MiMo-V2.5-Pro was released on 2026-04-27.

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

MAI-Thinking-1

Jun 2, 2026

1 months ago

1mo newer
MiMo-V2.5-Pro

Apr 27, 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 GPQA score (84.2% vs 66.7%)
Higher GraphWalks score (90.0% vs 62.0%)
Higher LiveCodeBench v6 score (87.7% vs 39.6%)
Higher MMLU-Pro score (85.0% vs 68.5%)
Xiaomi
Larger context window (1,048,576 tokens)
Has open weights
Higher SWE-Bench Pro score (57.2% vs 52.8%)
Higher SWE-Bench Verified score (78.9% vs 73.5%)
Higher Terminal-Bench 2.0 score (68.4% vs 46.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

MAI-Thinking-1 has a slight edge in benchmark performance. MAI-Thinking-1 is made by Microsoft and MiMo-V2.5-Pro 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-Pro 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-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

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

MAI-Thinking-1 supports an unknown number of tokens and MiMo-V2.5-Pro 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-Pro?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

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