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

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 Distill Qwen 1.5B
DeepSeek
2025-01-20

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
4 months newer
Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E2B Instructed LiteRT (Preview)
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E2B Instructed LiteRT (Preview)

DeepSeek R1 Distill Qwen 1.5B

Gemma 3n E2B Instructed LiteRT (Preview)