DeepSeek-V4.1-Flash vs o1-pro
DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 19.7.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 19.7, ranking #12 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; 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-V4.1-Flash
- overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
Choose o1-pro
- you are already invested in the OpenAI ecosystem
At a glance
The differences that matter most.
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 2 for o1-pro
DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while o1-pro is better at 0 benchmarks.
DeepSeek-V4.1-Flash 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 DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and o1-pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
o1-pro
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while o1-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 was released on 2026-09-10, while o1-pro was released on 2024-12-17.
DeepSeek-V4.1-Flash is 21 months newer than o1-pro.
Sep 10, 2026
0 days ago
1.7yr newerDec 17, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek-V4.1-Flash's cutoff date is not specified.
We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.
—
Sep 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and o1-pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs o1-pro.