Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Kimi K2 Base
Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). The model shows particular specialization in math tasks with an average performance of 81.2%. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

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

Kimi K2 Base
Moonshot AI
2025-01-01
4 months newer
Performance Metrics
Context window and performance specifications

Kimi K2 Base

Phi-3.5-mini-instruct
Average performance across 5 common benchmarks

Kimi K2 Base

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

Kimi K2 Base

Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics

Kimi K2 Base

Phi-3.5-mini-instruct
Azure

Kimi K2 Base

Phi-3.5-mini-instruct