Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 8.5% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi-k1.5 is the stronger choice for coding tasks.
Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
5 months newer

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

Kimi-k1.5
Moonshot AI
2025-01-20
Average performance across 1 common benchmarks

Kimi-k1.5

Phi-3.5-MoE-instruct
Available providers and their performance metrics

Kimi-k1.5

Phi-3.5-MoE-instruct

Kimi-k1.5

Phi-3.5-MoE-instruct