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

Gemini 2.0 Flash
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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-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.

Gemini 2.0 Flash
2024-12-01

Kimi-k1.5
Moonshot AI
2025-01-20
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash

Kimi-k1.5
Average performance across 1 common benchmarks

Gemini 2.0 Flash

Kimi-k1.5
Performance comparison across key benchmark categories

Gemini 2.0 Flash

Kimi-k1.5
Gemini 2.0 Flash
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash

Kimi-k1.5

Gemini 2.0 Flash

Kimi-k1.5