DeepSeek-V4.1-Flash-1017 vs Gemini 3 Pro
DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 38.4. DeepSeek-V4.1-Flash-1017 is 8.6x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 38.4, ranking #15 overall.
In the 1 individual benchmarks reported for both models, Gemini 3 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4.1-Flash-1017 is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4.1-Flash-1017
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 8.6x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 3 Pro
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for DeepSeek-V4.1-Flash-1017 · 21 for Gemini 3 Pro
DeepSeek-V4.1-Flash-1017 outperforms in 0 benchmarks, while Gemini 3 Pro is better at 1 benchmark (Humanity's Last Exam).
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-V4.1-Flash-1017 ($0.30/1M tokens) is 6.7x cheaper than Gemini 3 Pro ($2.00/1M tokens).
For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 10.0x cheaper than Gemini 3 Pro ($12.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than DeepSeek-V4.1-Flash-1017.*
* 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-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash-1017 and Gemini 3 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash-1017
Gemini 3 Pro
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 3 Pro was released on 2025-11-18.
DeepSeek-V4.1-Flash-1017 is 11 months newer than Gemini 3 Pro.
Oct 17, 2026
2 days ago
11mo newerNov 18, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V4.1-Flash-1017'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-V4.1-Flash-1017's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 3 Pro is available from Google.
DeepSeek-V4.1-Flash-1017
Gemini 3 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemini 3 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 3 Pro.
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