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

Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Gemini 1.5 Flash
2024-05-01

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

Gemini 1.5 Flash

Kimi K2-Instruct-0905
Average performance across 3 common benchmarks

Gemini 1.5 Flash

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

Gemini 1.5 Flash

Kimi K2-Instruct-0905
Gemini 1.5 Flash
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Kimi K2-Instruct-0905

Gemini 1.5 Flash

Kimi K2-Instruct-0905