DeepSeek R1 Zero vs Gemini 2.5 Pro
Gemini 2.5 Pro leads the LLM Stats Score 27.8 to 16.0.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 2.5 Pro leads the overall LLM Stats Score 27.8 to 16.0, ranking #153 overall.
In the 2 individual benchmarks reported for both models, Gemini 2.5 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Zero
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 Pro
- overall performance matters — it scores 27.8 and ranks #153 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped May 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Zero · 16 for Gemini 2.5 Pro
DeepSeek R1 Zero 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.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Gemini 2.5 Pro specifies input context (1,000,000 tokens). Only Gemini 2.5 Pro specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Pro supports multimodal inputs, whereas DeepSeek R1 Zero 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 Zero
Gemini 2.5 Pro
License
Usage and distribution terms
DeepSeek R1 Zero 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 Zero 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 Zero.
Jan 20, 2025
1.7 years ago
May 20, 2025
1.4 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 Zero'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 Zero's cutoff date.
—
Jan 2025
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Zero and Gemini 2.5 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Zero vs Gemini 2.5 Pro.