Model Comparison
DeepSeek R1 Distill Qwen 32B vs Gemini 1.0 ProWhich is better in 2026?
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 5.6x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs Gemini 1.0 Pro — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Gemini 1.0 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 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 5.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek R1 Distill Qwen 32B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 5.6x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose Gemini 1.0 Pro if…
- you want predictable pricing at $0.50/M input and $1.50/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B 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 4.2x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 8.3x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).
In conclusion, Gemini 1.0 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
DeepSeek R1 Distill Qwen 32B accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Gemini 1.0 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 1.0 Pro was released on 2024-02-15.
DeepSeek R1 Distill Qwen 32B is 11 months newer than Gemini 1.0 Pro.
Jan 20, 2025
1.4 years ago
11mo newerFeb 15, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
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Feb 2024
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Gemini 1.0 Pro is available from Google.
DeepSeek R1 Distill Qwen 32B
Gemini 1.0 Pro
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Gemini 1.0 Pro.