Model Comparison
GPT-4.1 nano vs Kimi-k1.5
Kimi-k1.5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4.1 nano outperforms in 0 benchmarks, while Kimi-k1.5 is better at 5 benchmarks (AIME 2024, IFEval, MathVista, MMLU, MMMU).
Kimi-k1.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4.1 nano and Kimi-k1.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
Kimi-k1.5
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-4.1 nano was released on 2025-04-14, while Kimi-k1.5 was released on 2025-01-20.
GPT-4.1 nano is 3 months newer than Kimi-k1.5.
Apr 14, 2025
1.1 years ago
2mo newerJan 20, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Kimi-k1.5's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Kimi-k1.5's cutoff date.
May 2024
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Outputs Comparison
Key Takeaways
GPT-4.1 nano
View detailsOpenAI
Kimi-k1.5
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about GPT-4.1 nano vs Kimi-k1.5.