Model Comparison
DeepSeek-V4-Flash-Max vs Gemini 3 ProWhich is better in 2026?
Both models are evenly matched across the benchmarks. DeepSeek-V4-Flash-Max is 36.0x cheaper per token.
Verdict: DeepSeek-V4-Flash-Max vs Gemini 3 Pro — which is better?
DeepSeek-V4-Flash-Max (by DeepSeek) and Gemini 3 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-V4-Flash-Max outperforms in 3 benchmarks (MathArena Apex, SWE-Bench Verified, Terminal-Bench 2.0), while Gemini 3 Pro is better at 3 benchmarks (GPQA, Humanity's Last Exam, SimpleQA). Both models are evenly matched across the benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 36.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose DeepSeek-V4-Flash-Max if…
- cost matters — it's about 36.0x 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
Choose Gemini 3 Pro if…
- you want predictable pricing at $2.00/M input and $12.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Max outperforms in 3 benchmarks (MathArena Apex, SWE-Bench Verified, Terminal-Bench 2.0), while Gemini 3 Pro is better at 3 benchmarks (GPQA, Humanity's Last Exam, SimpleQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.10/1M tokens) is 20.0x cheaper than Gemini 3 Pro ($2.00/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.20/1M tokens) is 60.0x cheaper than Gemini 3 Pro ($12.00/1M 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. Both models can generate responses up 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.
DeepSeek-V4-Flash-Max
Gemini 3 Pro
License
Usage and distribution terms
DeepSeek-V4-Flash-Max 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-V4-Flash-Max was released on 2026-04-23, while Gemini 3 Pro was released on 2025-11-18.
DeepSeek-V4-Flash-Max is 5 months newer than Gemini 3 Pro.
Apr 23, 2026
3 months ago
5mo newerNov 18, 2025
8 months ago
Knowledge 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.
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Jan 2025
Provider Availability
DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek, Fireworks, Novita. Gemini 3 Pro is available from Google.
DeepSeek-V4-Flash-Max
Gemini 3 Pro
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and Gemini 3 Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-Max vs Gemini 3 Pro.