Model Comparison

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

DeepSeek

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

DeepSeek

DeepSeek-V3 0324

DeepSeek

2025-03-25

2 months newer

Average performance across 2 common benchmarks

DeepSeek

DeepSeek-V3 0324

Average Score:63.9%
Google

Gemini 2.0 Flash Thinking

+9.9%
Average Score:73.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3 0324

general
69.7%
Google

Gemini 2.0 Flash Thinking

general
+4.1%
73.8%
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

DeepSeek

DeepSeek-V3 0324

0 providers
Google

Gemini 2.0 Flash Thinking

0 providers
DeepSeek

DeepSeek-V3 0324

Avg Score:63.9%
Providers:0
Google

Gemini 2.0 Flash Thinking

+9.9%
Avg Score:73.8%
Providers:0