Model Comparison

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

DeepSeek

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.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

1 month newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
+30.3%
83.9%
general
43.3%
DeepSeek

DeepSeek VL2 Tiny

math
53.6%
general
+19.3%
62.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
DeepSeek

DeepSeek VL2 Tiny

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:0.0%
Providers:0
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0