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

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 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 R1 Distill Llama 70B
DeepSeek
2025-01-20

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
0 days newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Llama 70B

DeepSeek R1 Distill Qwen 1.5B
Average performance across 4 common benchmarks

DeepSeek R1 Distill Llama 70B

DeepSeek R1 Distill Qwen 1.5B
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

DeepSeek R1 Distill Qwen 1.5B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

DeepSeek R1 Distill Qwen 1.5B

DeepSeek R1 Distill Llama 70B

DeepSeek R1 Distill Qwen 1.5B