Model Comparison

MAI-Thinking-1 vs Kimi K2.7 CodeWhich is better in 2026?

Comparing MAI-Thinking-1 and Kimi K2.7 Code across benchmarks, pricing, and capabilities.

Verdict: MAI-Thinking-1 vs Kimi K2.7 Code — which is better?

MAI-Thinking-1 (by Microsoft) and Kimi K2.7 Code (by Moonshot AI) 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.

Choose MAI-Thinking-1 if…

  • you are already invested in the Microsoft ecosystem

Choose Kimi K2.7 Code if…

  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MAI-Thinking-1 and Kimi K2.7 Codedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

Kimi K2.7 Code has 0.0B more parameters than MAI-Thinking-1, making it 0.0% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Moonshot AI
Kimi K2.7 Code
1.0Tparameters
1000.0B
MAI-Thinking-1
1000.0B
Kimi K2.7 Code

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (131,072 tokens).

Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.7 Code supports multimodal inputs, whereas MAI-Thinking-1 does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

MAI-Thinking-1

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

MAI-Thinking-1 is licensed under a proprietary license, while Kimi K2.7 Code uses Modified MIT License.

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

MAI-Thinking-1

Proprietary

Closed source

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while Kimi K2.7 Code was released on 2026-06-12.

Kimi K2.7 Code is 0 month newer than MAI-Thinking-1.

MAI-Thinking-1

Jun 2, 2026

1 months ago

Kimi K2.7 Code

Jun 12, 2026

1 months ago

1w newer

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

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

Moonshot AI
Larger context window (262,144 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MAI-Thinking-1 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

MAI-Thinking-1
✓ Preferred
Kimi K2.7 Code
Open in Playground
AI Model Comparison Table
Feature
Microsoft
MAI-Thinking-1
Moonshot AI
Kimi K2.7 Code

FAQ

Common questions about MAI-Thinking-1 vs Kimi K2.7 Code.

Which is better, MAI-Thinking-1 or Kimi K2.7 Code?

MAI-Thinking-1 (Microsoft) and Kimi K2.7 Code (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MAI-Thinking-1 compare to Kimi K2.7 Code in benchmarks?

MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

What are the context window sizes for MAI-Thinking-1 and Kimi K2.7 Code?

MAI-Thinking-1 supports an unknown number of tokens and Kimi K2.7 Code supports 262K 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 Kimi K2.7 Code?

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

Who makes MAI-Thinking-1 and Kimi K2.7 Code?

MAI-Thinking-1 is developed by Microsoft and Kimi K2.7 Code is developed by Moonshot AI.

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