Model Comparison

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

MiMo-V2-Pro significantly outperforms across most benchmarks.

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

MAI-Thinking-1 (by Microsoft) and MiMo-V2-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 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). MiMo-V2-Pro significantly outperforms across most benchmarks.

Choose MAI-Thinking-1 if…

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

Choose MiMo-V2-Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MAI-Thinking-1 outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).

MiMo-V2-Pro significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

MiMo-V2-Pro has 0.0B more parameters than MAI-Thinking-1, making it 0.0% larger.

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

Context Window

Maximum input and output token capacity

Only MiMo-V2-Pro specifies input context (1,000,000 tokens). Only MiMo-V2-Pro specifies output context (16,384 tokens).

Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

MAI-Thinking-1

Proprietary

Closed source

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while MiMo-V2-Pro was released on 2026-03-18.

MAI-Thinking-1 is 3 months newer than MiMo-V2-Pro.

MAI-Thinking-1

Jun 2, 2026

1 months ago

2mo newer
MiMo-V2-Pro

Mar 18, 2026

4 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

No standout differentiators in the data we have for this pair.

Larger context window (1,000,000 tokens)
Higher SWE-Bench Verified score (78.0% vs 73.5%)
Higher Terminal-Bench 2.0 score (57.1% vs 46.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

MiMo-V2-Pro significantly outperforms across most benchmarks. MAI-Thinking-1 is made by Microsoft and MiMo-V2-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-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-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

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

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

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

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