Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

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.

Moonshot AI

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.

Moonshot AI

Kimi K2 Base

Moonshot AI

2025-01-01

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

20 days newer

Average performance across 1 common benchmarks

Google

Gemini 2.0 Flash Thinking

+26.1%
Average Score:74.2%
Moonshot AI

Kimi K2 Base

Average Score:48.1%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
+6.5%
73.8%
Moonshot AI

Kimi K2 Base

general
67.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers
Moonshot AI

Kimi K2 Base

0 providers
Google

Gemini 2.0 Flash Thinking

+26.1%
Avg Score:74.2%
Providers:0
Moonshot AI

Kimi K2 Base

Avg Score:48.1%
Providers:0