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-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

DeepSeek-V3 0324

DeepSeek

2025-03-25

2 months newer

Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:46.8%

DeepSeek-V3 0324

+20.9%

Average Score:67.8%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

math

83.9%

general

43.3%

code

16.9%

DeepSeek-V3 0324

math

+10.1%

94.0%

general

+26.4%

69.7%

code

+32.3%

49.2%

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-V3 0324

0 providers

DeepSeek R1 Distill Qwen 1.5B

Avg Score:46.8%

Providers:0

DeepSeek-V3 0324

+20.9%

Avg Score:67.8%

Providers:0