Model Comparison
Gemini 1.5 Pro vs QwQ-32B-PreviewWhich is better in 2026?
QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 26.9x cheaper per token.
Verdict: Gemini 1.5 Pro vs QwQ-32B-Preview — which is better?
Gemini 1.5 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 1.5 Pro outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA). QwQ-32B-Preview significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 26.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Pro if…
- you process long inputs — it offers a 2,097,152 token context window
Choose QwQ-32B-Preview if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 26.9x cheaper per token
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).
QwQ-32B-Preview significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 16.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 50.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Gemini 1.5 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 1.5 Pro accepts 2,097,152 input tokens compared to QwQ-32B-Preview's 32,768 tokens. QwQ-32B-Preview can generate longer responses up to 32,768 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas QwQ-32B-Preview does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
QwQ-32B-Preview
License
Usage and distribution terms
Gemini 1.5 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 1.5 Pro was released on 2024-05-01, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 7 months newer than Gemini 1.5 Pro.
May 1, 2024
2.1 years ago
Nov 28, 2024
1.5 years ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while QwQ-32B-Preview has a cutoff of 2024-11-28.
QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).
Nov 2023
Nov 2024
1 yr newerProvider Availability
Gemini 1.5 Pro is available from Google. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Gemini 1.5 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 1.5 Pro vs QwQ-32B-Preview.