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.

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20

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

DeepSeek-V3.2-Exp

Gemma 3n E4B Instructed LiteRT Preview
Average performance across 38 common benchmarks

DeepSeek-V3.2-Exp

Gemma 3n E4B Instructed LiteRT Preview
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Gemma 3n E4B Instructed LiteRT Preview

DeepSeek-V3.2-Exp

Gemma 3n E4B Instructed LiteRT Preview