Model Comparison
Kimi-k1.5 vs o4-mini
o4-mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi-k1.5 outperforms in 0 benchmarks, while o4-mini is better at 3 benchmarks (AIME 2024, MathVista, MMMU).
o4-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).
Input Capabilities
Supported data types and modalities
Both Kimi-k1.5 and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi-k1.5
o4-mini
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
Kimi-k1.5 was released on 2025-01-20, while o4-mini was released on 2025-04-16.
o4-mini is 3 months newer than Kimi-k1.5.
Jan 20, 2025
1.3 years ago
Apr 16, 2025
1.1 years ago
2mo newerKnowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while Kimi-k1.5's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Kimi-k1.5's cutoff date.
—
May 2024
Outputs Comparison
Key Takeaways
Kimi-k1.5
View detailsMoonshot AI
No standout differentiators in the data we have for this pair.
o4-mini
View detailsOpenAI
Kimi-k1.5o4-miniDetailed Comparison
FAQ
Common questions about Kimi-k1.5 vs o4-mini.