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Model Comparison

DeepSeek-V4-Flash-0731 vs Seed 2.0 LiteWhich is better in 2026?

Comparing DeepSeek-V4-Flash-0731 and Seed 2.0 Lite across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V4-Flash-0731 vs Seed 2.0 Lite — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and Seed 2.0 Lite (by ByteDance) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V4-Flash-0731 if…

  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Choose Seed 2.0 Lite if…

  • you are already invested in the ByteDance ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 and Seed 2.0 Litedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

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 (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
ByteDance
Seed 2.0 Lite
Input- tokens
Output- tokens
Thu Aug 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Seed 2.0 Lite supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Seed 2.0 Lite 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 2.0 Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Seed 2.0 Lite 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 2.0 Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Seed 2.0 Lite was released on 2026-02-14.

DeepSeek-V4-Flash-0731 is 6 months newer than Seed 2.0 Lite.

DeepSeek-V4-Flash-0731

Jul 31, 2026

6 days ago

5mo newer
Seed 2.0 Lite

Feb 14, 2026

5 months ago

Knowledge Cutoff

When training data ends

Seed 2.0 Lite has a documented knowledge cutoff of 2024-01-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.

We can confirm Seed 2.0 Lite's training data extends to 2024-01-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.

DeepSeek-V4-Flash-0731

—

Seed 2.0 Lite

Jan 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Has open weights
ByteDance
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Seed 2.0 Lite side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Seed 2.0 Lite
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
ByteDance
Seed 2.0 Lite

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Seed 2.0 Lite.

Which is better, DeepSeek-V4-Flash-0731 or Seed 2.0 Lite?

DeepSeek-V4-Flash-0731 (DeepSeek) and Seed 2.0 Lite (ByteDance) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-0731 compare to Seed 2.0 Lite 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 2.0 Lite scores AIME 2025: 93.0%, AIME 2026: 88.3%, GPQA: 85.1%, LiveCodeBench v6: 81.7%, SWE-Bench Verified: 73.5%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Seed 2.0 Lite?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Seed 2.0 Lite 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 2.0 Lite?

Key differences include 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 2.0 Lite?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Seed 2.0 Lite is developed by ByteDance.

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