Model Comparison
DeepSeek R1 Distill Qwen 32B vs DeepSeek-V3 0324Which is better in 2026?
DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 32B is 3.7x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs DeepSeek-V3 0324 — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and DeepSeek-V3 0324 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Qwen 32B outperforms in 3 benchmarks (AIME 2024, LiveCodeBench, MATH-500), while DeepSeek-V3 0324 is better at 1 benchmark (GPQA). DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- cost matters — it's about 3.7x cheaper per token
Choose DeepSeek-V3 0324 if…
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Mar 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 3 benchmarks (AIME 2024, LiveCodeBench, MATH-500), while DeepSeek-V3 0324 is better at 1 benchmark (GPQA).
DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.3x cheaper than DeepSeek-V3 0324 ($0.28/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 6.3x cheaper than DeepSeek-V3 0324 ($1.14/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 638.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1945.7% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B 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 32B 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 32B.
Jan 20, 2025
1.4 years ago
Mar 25, 2025
1.3 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.
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. DeepSeek-V3 0324 is available from Novita.
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3 0324
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs DeepSeek-V3 0324.