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

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek-V3
DeepSeek
2024-12-25

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

DeepSeek-V3

Gemini 2.0 Flash Thinking
Average performance across 2 common benchmarks

DeepSeek-V3

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

DeepSeek-V3

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

DeepSeek-V3
DeepSeek

Gemini 2.0 Flash Thinking

DeepSeek-V3

Gemini 2.0 Flash Thinking