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

Kimi K2 Instruct
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Phi 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
2025-01-01

Phi 4 Mini Reasoning
Microsoft
2025-04-30
3 months newer
Performance Metrics
Context window and performance specifications

Kimi K2 Instruct

Phi 4 Mini Reasoning
Average performance across 2 common benchmarks

Kimi K2 Instruct

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

Kimi K2 Instruct

Phi 4 Mini Reasoning
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Kimi K2 Instruct
Novita

Phi 4 Mini Reasoning

Kimi K2 Instruct

Phi 4 Mini Reasoning