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

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Gemini 2.0 Flash Thinking
2025-01-21

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
8 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Gemini 2.0 Flash Thinking
Average performance across 16 common benchmarks

DeepSeek-V3.2-Exp

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

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

DeepSeek-V3.2-Exp
Novita
ZeroEval

Gemini 2.0 Flash Thinking

DeepSeek-V3.2-Exp

Gemini 2.0 Flash Thinking