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DeepSeek-V4-Pro-0813 vs Seed 2.1 Turbo

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 44.0.

DeepSeek · ByteDance · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 54.1 to 44.0, ranking #7 overall.

In the 6 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 6; 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-Pro-0813

  • overall performance matters — it scores 54.1 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results
  • you want the most recent training data — it shipped Aug 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-Pro-0813
DeepSeek
Seed 2.1 Turbo
ByteDance
Core performance indexes
LLM Stats Score
54.1
#7
44.0
#31
Reasoning
51.5
#8
45.4
#27
Coding
44.2
#7
33.2
#36
Agents
40.4
#7
30.4
#28
Cost, coverage & limits
Benchmark wins
6 of 6
0 of 6
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-0813
Seed 2.1 Turbo
Math
41.8#6
39.4#19
Tool use
33.6#6
23.0#41
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 90 for Seed 2.1 Turbo

6 shared

DeepSeek-V4-Pro-0813 outperforms in 6 benchmarks (CyberGym, DeepSWE, Humanity's Last Exam, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Seed 2.1 Turbo is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Fri Aug 28 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-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
ByteDance
Seed 2.1 Turbo
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.1 Turbo supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Seed 2.1 Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Seed 2.1 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-Pro-0813

MIT

Open weights

Seed 2.1 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Seed 2.1 Turbo was released on 2026-06-24.

DeepSeek-V4-Pro-0813 is 2 months newer than Seed 2.1 Turbo.

DeepSeek-V4-Pro-0813

Aug 13, 2026

2 weeks ago

1mo newer
Seed 2.1 Turbo

Jun 24, 2026

2 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Seed 2.1 Turbo side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Seed 2.1 Turbo
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Seed 2.1 Turbo.

Which is better, DeepSeek-V4-Pro-0813 or Seed 2.1 Turbo?

DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 44.0. DeepSeek-V4-Pro-0813 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-Pro-0813 compare to Seed 2.1 Turbo in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-Pro-0813 and Seed 2.1 Turbo?

DeepSeek-V4-Pro-0813 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-Pro-0813 and Seed 2.1 Turbo?

Key differences include LLM Stats Score (54.1 vs 44.0), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Seed 2.1 Turbo?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Seed 2.1 Turbo is developed by ByteDance.

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