Model Comparison
Gemini 3.1 Pro vs QwQ-32B-PreviewWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. QwQ-32B-Preview is 34.6x cheaper per token.
Verdict: Gemini 3.1 Pro vs QwQ-32B-Preview — which is better?
Gemini 3.1 Pro (by Google) 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.
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 34.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2026
Choose QwQ-32B-Preview if…
- cost matters — it's about 34.6x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 16.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 75.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,048,576 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.1 Pro supports multimodal inputs, whereas QwQ-32B-Preview does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 Pro
QwQ-32B-Preview
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while QwQ-32B-Preview was released on 2024-11-28.
Gemini 3.1 Pro is 15 months newer than QwQ-32B-Preview.
Feb 19, 2026
3 months ago
1.2yr newerNov 28, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while QwQ-32B-Preview has a cutoff of 2024-11-28.
Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to QwQ-32B-Preview (2024-11-28).
Jan 2025
2 mo newerNov 2024
Provider Availability
Gemini 3.1 Pro is available from Google. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Gemini 3.1 Pro
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs QwQ-32B-Preview.