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DeepSeek-V4.1-Flash-1017 vs o1-pro

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 19.5.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 19.5, ranking #15 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 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.

DeepSeek-V4.1-Flash-1017
DeepSeek
o1-pro
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
19.5
#224
Reasoning
48.6
#18
19.8
#214
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 2 for o1-pro

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and o1-prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and o1-pro support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while o1-pro was released on 2024-12-17.

DeepSeek-V4.1-Flash-1017 is 22 months newer than o1-pro.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

1.8yr newer
o1-pro

Dec 17, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek-V4.1-Flash-1017'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-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and o1-pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs o1-pro.

Which is better, DeepSeek-V4.1-Flash-1017 or o1-pro?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 19.5. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and o1-pro is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to o1-pro in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and o1-pro?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and o1-pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and o1-pro?

Key differences include LLM Stats Score (51.0 vs 19.5), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and o1-pro?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and o1-pro is developed by OpenAI.

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