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DeepSeek-V4.1-Flash-1017 vs Seed 2.1 Turbo

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 42.7.

DeepSeek · ByteDance · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 42.7, ranking #15 overall.

In the 5 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 3; 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-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
  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Seed 2.1 Turbo

  • you are already invested in the ByteDance ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Seed 2.1 Turbo
ByteDance
Core performance indexes
LLM Stats Score
51.0
#15
42.7
#59
Reasoning
48.6
#18
44.2
#45
Coding
39.1
#15
29.6
#62
Agents
38.6
#9
28.5
#55
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
Seed 2.1 Turbo
Math
31.8#67
39.3#19
Vision
32.2#26
30.4#38
Tool use
30.9#7
19.6#70
Multimodal
35.0#14
33.0#21
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 90 for Seed 2.1 Turbo

5 shared

DeepSeek-V4.1-Flash-1017 outperforms in 3 benchmarks (BabyVision, NL2Repo, ZEROBench), while Seed 2.1 Turbo is better at 2 benchmarks (Humanity's Last Exam, Program Bench).

DeepSeek-V4.1-Flash-1017 has a slight edge in benchmark performance.

Mon Oct 19 2026 • llm-stats.com

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
ByteDance
Seed 2.1 Turbo
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 Seed 2.1 Turbo 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

Seed 2.1 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Seed 2.1 Turbo 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

Seed 2.1 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Seed 2.1 Turbo was released on 2026-06-24.

DeepSeek-V4.1-Flash-1017 is 4 months newer than Seed 2.1 Turbo.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

3mo newer
Seed 2.1 Turbo

Jun 24, 2026

3 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Seed 2.1 Turbo side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Seed 2.1 Turbo
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Seed 2.1 Turbo.

Which is better, DeepSeek-V4.1-Flash-1017 or Seed 2.1 Turbo?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 42.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Seed 2.1 Turbo is made by ByteDance. 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 Seed 2.1 Turbo 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%. Seed 2.1 Turbo scores CharXiv-D: 94.6%, MathVision: 92.7%, MathVista: 90.5%, MathVerse: 89.2%, Video-MME: 89.0%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Seed 2.1 Turbo?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Seed 2.1 Turbo 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 Seed 2.1 Turbo?

Key differences include LLM Stats Score (51.0 vs 42.7), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Seed 2.1 Turbo?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Seed 2.1 Turbo is developed by ByteDance.

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