Model Comparison

Kimi K2.5 vs MiniMax M2.7

MiniMax M2.7 significantly outperforms across most benchmarks. MiniMax M2.7 is 2.3x cheaper per token.

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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.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 2.0x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, Kimi K2.5 ($3.00/1M tokens) is 2.5x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, Kimi K2.5 is more expensive than MiniMax M2.7.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Kimi K2.5 accepts 262,100 input tokens compared to MiniMax M2.7's 204,800 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while MiniMax M2.7 is limited to 131,072 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
MiniMax
MiniMax M2.7
Input204,800 tokens
Output131,072 tokens
Sat Apr 18 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

1 months 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

Provider Availability

Kimi K2.5 is available from Fireworks, Moonshot AI. MiniMax M2.7 is available from MiniMax.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

MiniMax M2.7

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Supports multimodal inputs
MiniMax
Less expensive input tokens
Less expensive output tokens
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%.
MiniMax M2.7 is 2.0x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $3.00/M output via fireworks. MiniMax M2.7 costs $0.30/M input and $1.20/M output via minimax.
Kimi K2.5 supports 262K tokens and MiniMax M2.7 supports 205K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 205K), input pricing ($0.60 vs $0.30/M), 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.