DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3 0324
DeepSeek-V3 0324 leads the LLM Stats Score 13.4 to -3.0.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V3 0324 leads the overall LLM Stats Score 13.4 to -3.0, ranking #251 overall.
In the 4 individual benchmarks reported for both models, DeepSeek-V3 0324 wins 4; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 1.5B
- you are already invested in the DeepSeek ecosystem
Choose DeepSeek-V3 0324
- overall performance matters — it scores 13.4 and ranks #251 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 1.5B · 5 for DeepSeek-V3 0324
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while DeepSeek-V3 0324 is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).
DeepSeek-V3 0324 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 669.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 37596.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while DeepSeek-V3 0324 was released on 2025-03-25.
DeepSeek-V3 0324 is 2 months newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.7 years ago
Mar 25, 2025
1.5 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3 0324.