Model Comparison
DeepSeek R1 Distill Qwen 32B vs Gemini 2.5 ProWhich is better in 2026?
Gemini 2.5 Pro significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 25.5x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs Gemini 2.5 Pro — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Gemini 2.5 Pro (by Google) 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 0 benchmarks, while Gemini 2.5 Pro is better at 2 benchmarks (AIME 2024, GPQA). Gemini 2.5 Pro significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 25.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 25.5x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 Pro if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Gemini 2.5 Pro is better at 2 benchmarks (AIME 2024, GPQA).
Gemini 2.5 Pro significantly outperforms across most 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 10.4x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 55.6x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Pro
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Gemini 2.5 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Gemini 2.5 Pro was released on 2025-05-20.
Gemini 2.5 Pro is 4 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.4 years ago
May 20, 2025
1.1 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Gemini 2.5 Pro is available from Google.
DeepSeek R1 Distill Qwen 32B
Gemini 2.5 Pro
Outputs Comparison
Key Takeaways
DeepSeek R1 Distill Qwen 32BGemini 2.5 ProDetailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Gemini 2.5 Pro.