The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs Seed 2.1 Pro

DeepSeek-V4-Flash-0731 and Seed 2.1 Pro are closely matched at 45.1 and 46.4 on the LLM Stats Score.

DeepSeek · ByteDance · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Seed 2.1 Pro are closely matched on the overall LLM Stats Score at 45.1 and 46.4.

In the 6 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 6 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 Pro

  • you are already invested in the ByteDance ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
Seed 2.1 Pro
ByteDance
Core performance indexes
LLM Stats Score
45.1
#32
46.4
#25
Reasoning
42.5
#43
47.2
#22
Coding
33.1
#33
33.7
#31
Agents
30.9
#29
31.3
#26
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
$0.09 / 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 Pro
Tool use
25.7#30
26.4#27
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 94 for Seed 2.1 Pro

6 shared

DeepSeek-V4-Flash-0731 outperforms in 5 benchmarks (CyberGym, DeepSWE, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Seed 2.1 Pro is better at 1 benchmark (Agents' Last Exam).

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

Sun Sep 06 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 (384,000 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output384,000 tokens
ByteDance
Seed 2.1 Pro
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.1 Pro supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Seed 2.1 Pro 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 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Seed 2.1 Pro 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 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1mo newer
Seed 2.1 Pro

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-Flash-0731 and Seed 2.1 Pro side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4-Flash-0731 and Seed 2.1 Pro are closely matched on the LLM Stats Score at 45.1 and 46.4. DeepSeek-V4-Flash-0731 is made by DeepSeek and Seed 2.1 Pro 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 Pro 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 Pro scores CharXiv-D: 95.5%, MathVision: 94.5%, MathVista: 90.7%, MathVerse: 89.7%, Video-MME: 89.2%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Seed 2.1 Pro?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Seed 2.1 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-Flash-0731 and Seed 2.1 Pro?

Key differences include LLM Stats Score (45.1 vs 46.4), 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 Pro?

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

Related comparisons