Model Comparison

Kimi K2 0905 vs MiniMax M1 40K

Kimi K2 0905 shows notably better performance in the majority of benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2 0905 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while MiniMax M1 40K is better at 1 benchmark (AIME 2024).

Kimi K2 0905 shows notably better performance in the majority of benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

544.0B diff

Kimi K2 0905 has 544.0B more parameters than MiniMax M1 40K, making it 119.3% larger.

Moonshot AI
Kimi K2 0905
1.0Tparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
1000.0B
Kimi K2 0905
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while MiniMax M1 40K uses MIT.

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

Kimi K2 0905

Proprietary

Closed source

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while MiniMax M1 40K was released on 2025-06-16.

Kimi K2 0905 is 3 months newer than MiniMax M1 40K.

Kimi K2 0905

Sep 5, 2025

8 months ago

2mo newer
MiniMax M1 40K

Jun 16, 2025

11 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

Moonshot AI
Larger context window (262,144 tokens)
Higher GPQA score (75.8% vs 69.2%)
Higher MMLU-Pro score (82.5% vs 80.6%)
MiniMax
Has open weights
Higher AIME 2024 score (83.3% vs 72.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
MiniMax
MiniMax M1 40K

FAQ

Common questions about Kimi K2 0905 vs MiniMax M1 40K.

Which is better, Kimi K2 0905 or MiniMax M1 40K?

Kimi K2 0905 shows notably better performance in the majority of benchmarks. Kimi K2 0905 is made by Moonshot AI and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 0905 compare to MiniMax M1 40K in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Kimi K2 0905 and MiniMax M1 40K?

Kimi K2 0905 supports 262K tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 0905 and MiniMax M1 40K?

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

Who makes Kimi K2 0905 and MiniMax M1 40K?

Kimi K2 0905 is developed by Moonshot AI and MiniMax M1 40K is developed by MiniMax.