Model Comparison
Qwen3 32B vs QwQ-32B-PreviewWhich is better in 2026?
Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 1.1x cheaper per token.
Verdict: Qwen3 32B vs QwQ-32B-Preview — which is better?
Qwen3 32B (by Alibaba Cloud / Qwen Team) 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.
Qwen3 32B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while QwQ-32B-Preview is better at 0 benchmarks. Qwen3 32B significantly outperforms across most benchmarks.
On price, Qwen3 32B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 32B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3 32B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Apr 2025
Choose QwQ-32B-Preview if…
- you want predictable pricing at $0.15/M input and $0.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3 32B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while QwQ-32B-Preview is better at 0 benchmarks.
Qwen3 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3 32B ($0.10/1M tokens) is 1.5x cheaper than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Qwen3 32B ($0.30/1M tokens) is 1.5x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, QwQ-32B-Preview is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 32B has 0.3B more parameters than QwQ-32B-Preview, making it 0.9% larger.
Context Window
Maximum input and output token capacity
Qwen3 32B accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3 32B was released on 2025-04-29, while QwQ-32B-Preview was released on 2024-11-28.
Qwen3 32B is 5 months newer than QwQ-32B-Preview.
Apr 29, 2025
1.1 years ago
5mo newerNov 28, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Qwen3 32B'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 Qwen3 32B's cutoff date.
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Nov 2024
Provider Availability
Qwen3 32B is available from DeepInfra, Novita, Sambanova. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Qwen3 32B
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen3 32B vs QwQ-32B-Preview.