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DeepSeek-V4-Flash-0731 vs Seed 2.1 Turbo

DeepSeek-V4-Flash-0731 and Seed 2.1 Turbo are closely matched at 43.8 and 43.0 on the LLM Stats Score.

DeepSeek · ByteDance · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Seed 2.1 Turbo are closely matched on the overall LLM Stats Score at 43.8 and 43.0.

In the 5 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 5; 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-Flash-0731

  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Jul 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-Flash-0731
DeepSeek
Seed 2.1 Turbo
ByteDance
Core performance indexes
LLM Stats Score
43.8
#43
43.0
#46
Reasoning
41.3
#51
44.4
#36
Coding
32.1
#43
30.8
#50
Agents
30.1
#38
28.9
#42
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0731
Seed 2.1 Turbo
Tool use
22.6#42
19.3#59
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 90 for Seed 2.1 Turbo

5 shared

DeepSeek-V4-Flash-0731 outperforms in 5 benchmarks (CyberGym, DeepSWE, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Seed 2.1 Turbo is better at 0 benchmarks.

DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.

Sun Sep 27 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-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
ByteDance
Seed 2.1 Turbo
Input- tokens
Output- tokens
Sun Sep 27 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.1 Turbo supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 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-Flash-0731

Text
Images
Audio
Video

Seed 2.1 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 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-Flash-0731

MIT

Open weights

Seed 2.1 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Seed 2.1 Turbo was released on 2026-06-24.

DeepSeek-V4-Flash-0731 is 1 month newer than Seed 2.1 Turbo.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1mo 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Seed 2.1 Turbo side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Seed 2.1 Turbo
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Seed 2.1 Turbo.

Which is better, DeepSeek-V4-Flash-0731 or Seed 2.1 Turbo?

DeepSeek-V4-Flash-0731 and Seed 2.1 Turbo are closely matched on the LLM Stats Score at 43.8 and 43.0. DeepSeek-V4-Flash-0731 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-Flash-0731 compare to Seed 2.1 Turbo in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-Flash-0731 and Seed 2.1 Turbo?

DeepSeek-V4-Flash-0731 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-Flash-0731 and Seed 2.1 Turbo?

Key differences include LLM Stats Score (43.8 vs 43.0), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Seed 2.1 Turbo?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Seed 2.1 Turbo is developed by ByteDance.

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