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 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.

Gemini 1.5 Flash
2024-05-01

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

Gemini 1.5 Flash

Kimi K2 Base
Average performance across 5 common benchmarks

Gemini 1.5 Flash

Kimi K2 Base
Performance comparison across key benchmark categories

Gemini 1.5 Flash

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

Gemini 1.5 Flash

Kimi K2 Base

Gemini 1.5 Flash

Kimi K2 Base