DeepSeek-R1-0528 vs Gemini 3 Pro
Gemini 3 Pro leads the LLM Stats Score 38.6 to 24.1. DeepSeek-R1-0528 is 4.9x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 3 Pro leads the overall LLM Stats Score 38.6 to 24.1, ranking #64 overall.
In the 5 individual benchmarks reported for both models, Gemini 3 Pro wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-R1-0528 is roughly 4.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1-0528
- cost matters — it's about 4.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 3 Pro
- overall performance matters — it scores 38.6 and ranks #64 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for DeepSeek-R1-0528 · 21 for Gemini 3 Pro
DeepSeek-R1-0528 outperforms in 1 benchmarks (SimpleQA), while Gemini 3 Pro is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified).
Gemini 3 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 4.0x cheaper than Gemini 3 Pro ($2.00/1M tokens).
For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 5.6x cheaper than Gemini 3 Pro ($12.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than DeepSeek-R1-0528.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to DeepSeek-R1-0528's 163,840 tokens. DeepSeek-R1-0528 can generate longer responses up to 163,840 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-R1-0528 does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1-0528
Gemini 3 Pro
License
Usage and distribution terms
DeepSeek-R1-0528 is licensed under MIT, while Gemini 3 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-R1-0528 was released on 2025-05-28, while Gemini 3 Pro was released on 2025-11-18.
Gemini 3 Pro is 6 months newer than DeepSeek-R1-0528.
May 28, 2025
1.3 years ago
Nov 18, 2025
10 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Gemini 3 Pro is available from Google.
DeepSeek-R1-0528
Gemini 3 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and Gemini 3 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs Gemini 3 Pro.