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

Kimi K2 0905
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K 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-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-vision-instruct
Microsoft
2024-08-23

Kimi K2 0905
Moonshot AI
2025-09-05
1 year newer
Performance Metrics
Context window and performance specifications

Kimi K2 0905

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

Kimi K2 0905

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

Kimi K2 0905
Novita

Phi-3.5-vision-instruct

Kimi K2 0905

Phi-3.5-vision-instruct