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

Kimi-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-k1.5
Moonshot AI
2025-01-20
5 months newer
Performance Metrics
Context window and performance specifications

Kimi-k1.5

Phi-3.5-mini-instruct
Average performance across 1 common benchmarks

Kimi-k1.5

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

Kimi-k1.5

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

Kimi-k1.5

Phi-3.5-mini-instruct
Azure

Kimi-k1.5

Phi-3.5-mini-instruct