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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K 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.

Kimi K2 Instruct
Moonshot AI
2025-01-01

Gemini 2.0 Flash Thinking
2025-01-21
20 days newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Kimi K2 Instruct
Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

Kimi K2 Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Kimi K2 Instruct
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Kimi K2 Instruct
Novita

Gemini 2.0 Flash Thinking

Kimi K2 Instruct