Model Comparison

Kimi K2.5 vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2.5 outperforms in 0 benchmarks, while MiniMax M2.7 is better at 3 benchmarks (SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0).

MiniMax M2.7 significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$2.50
Best providerFireworks
MiniMax
MiniMax M2.7
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
MiniMax
MiniMax M2.7
Input- tokens
Output- tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.5 supports multimodal inputs, whereas MiniMax M2.7 does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.5

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Kimi K2.5

MIT

Open weights

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M2.7 is 2 months newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

2 months ago

MiniMax M2.7

Mar 18, 2026

2 weeks ago

1mo 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

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Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
MiniMax
Higher SWE-bench Multilingual score (76.5% vs 73.0%)
Higher SWE-Bench Pro score (56.2% vs 50.7%)
Higher Terminal-Bench 2.0 score (57.0% vs 50.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
MiniMax
MiniMax M2.7

FAQ

Common questions about Kimi K2.5 vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and MiniMax M2.7 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.
Kimi K2.5 supports 262K tokens and MiniMax M2.7 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and MiniMax M2.7 is developed by MiniMax.