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.

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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

2025-01-20

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

0 days newer

Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:46.8%

DeepSeek R1 Distill Qwen 7B

+18.9%

Average Score:65.7%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

math

83.9%

general

43.3%

code

16.9%

DeepSeek R1 Distill Qwen 7B

math

+8.9%

92.8%

general

+22.9%

66.2%

code

+20.7%

37.6%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

0 providers

DeepSeek R1 Distill Qwen 7B

0 providers

DeepSeek R1 Distill Qwen 1.5B

Avg Score:46.8%

Providers:0

DeepSeek R1 Distill Qwen 7B

+18.9%

Avg Score:65.7%

Providers:0