Model Comparison
Gemini 3 Pro vs DeepSeek-V4-Flash-MaxWhich is better in 2026?
Both models are evenly matched across the benchmarks. DeepSeek-V4-Flash-Max is 25.7x cheaper per token.
Verdict: Gemini 3 Pro vs DeepSeek-V4-Flash-Max — which is better?
Gemini 3 Pro (by Google) and DeepSeek-V4-Flash-Max (by DeepSeek) 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 3 Pro outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SimpleQA), while DeepSeek-V4-Flash-Max is better at 3 benchmarks (MathArena Apex, SWE-Bench Verified, Terminal-Bench 2.0). Both models are evenly matched across the benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 25.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Gemini 3 Pro if…
- you want predictable pricing at $2.00/M input and $12.00/M output
Choose DeepSeek-V4-Flash-Max if…
- cost matters — it's about 25.7x cheaper per token
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SimpleQA), while DeepSeek-V4-Flash-Max is better at 3 benchmarks (MathArena Apex, SWE-Bench Verified, Terminal-Bench 2.0).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 14.3x more expensive than DeepSeek-V4-Flash-Max ($0.14/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 42.9x more expensive than DeepSeek-V4-Flash-Max ($0.28/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 393,216 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Pro
DeepSeek-V4-Flash-Max
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while DeepSeek-V4-Flash-Max uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while DeepSeek-V4-Flash-Max was released on 2026-04-23.
DeepSeek-V4-Flash-Max is 5 months newer than Gemini 3 Pro.
Nov 18, 2025
6 months ago
Apr 23, 2026
1 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V4-Flash-Max'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-V4-Flash-Max's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. DeepSeek-V4-Flash-Max is available from DeepSeek.
Gemini 3 Pro
DeepSeek-V4-Flash-Max
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsDetailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs DeepSeek-V4-Flash-Max.