Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 2.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
2 months newer

DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20

DeepSeek-V3 0324
DeepSeek
2025-03-25
Context window and performance specifications
Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 7B

DeepSeek-V3 0324
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

DeepSeek-V3 0324
Novita

DeepSeek R1 Distill Qwen 7B

DeepSeek-V3 0324

DeepSeek R1 Distill Qwen 7B

DeepSeek-V3 0324