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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. 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.

DeepSeek-R1
DeepSeek
2025-01-20

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Gemma 3n E4B Instructed LiteRT Preview
Average performance across 5 common benchmarks

DeepSeek-R1

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

DeepSeek-R1

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-R1
Together
DeepInfra
Fireworks
DeepSeek

Gemma 3n E4B Instructed LiteRT Preview

DeepSeek-R1

Gemma 3n E4B Instructed LiteRT Preview