Model Comparison
DeepSeek-V3 0324 vs QwQ-32B-PreviewWhich is better in 2026?
DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks. QwQ-32B-Preview is 3.0x cheaper per token.
Verdict: DeepSeek-V3 0324 vs QwQ-32B-Preview — which is better?
DeepSeek-V3 0324 (by DeepSeek) and QwQ-32B-Preview (by Alibaba Cloud / Qwen Team) 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-V3 0324 outperforms in 3 benchmarks (AIME 2024, GPQA, MATH-500), while QwQ-32B-Preview is better at 1 benchmark (LiveCodeBench). DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.
On price, QwQ-32B-Preview is roughly 3.0x 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-V3 0324 if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Mar 2025
Choose QwQ-32B-Preview if…
- cost matters — it's about 3.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 3 benchmarks (AIME 2024, GPQA, MATH-500), while QwQ-32B-Preview is better at 1 benchmark (LiveCodeBench).
DeepSeek-V3 0324 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-V3 0324 ($0.28/1M tokens) is 1.9x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 5.7x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 638.5B more parameters than QwQ-32B-Preview, making it 1964.6% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to QwQ-32B-Preview's 32,768 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while QwQ-32B-Preview was released on 2024-11-28.
DeepSeek-V3 0324 is 4 months newer than QwQ-32B-Preview.
Mar 25, 2025
1.3 years ago
3mo newerNov 28, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while DeepSeek-V3 0324's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.
—
Nov 2024
Provider Availability
DeepSeek-V3 0324 is available from Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
DeepSeek-V3 0324
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3 0324 vs QwQ-32B-Preview.