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DeepSeek-V4.1-Flash vs Seed 2.0 Lite

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 31.9.

DeepSeek · ByteDance · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 31.9, ranking #13 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; 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

  • overall performance matters — it scores 51.8 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Seed 2.0 Lite

  • you are already invested in the ByteDance ecosystem

At a glance

The differences that matter most.

Core performance indexes
51.8
#13
31.9
#108
48.9
#18
31.5
#107
44.2
#5
17.9
#114
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash
Seed 2.0 Lite
35.2#43
25.1#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 5 for Seed 2.0 Lite

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Seed 2.0 Lite is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Mon Sep 21 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 specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
ByteDance
Seed 2.0 Lite
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Seed 2.0 Lite support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Seed 2.0 Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash 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-V4.1-Flash

MIT

Open weights

Seed 2.0 Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Seed 2.0 Lite was released on 2026-02-14.

DeepSeek-V4.1-Flash is 7 months newer than Seed 2.0 Lite.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

6mo newer
Seed 2.0 Lite

Feb 14, 2026

7 months ago

Knowledge Cutoff

When training data ends

Seed 2.0 Lite has a documented knowledge cutoff of 2024-01-01, while DeepSeek-V4.1-Flash'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-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

Seed 2.0 Lite

Jan 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Seed 2.0 Lite side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Seed 2.0 Lite
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Seed 2.0 Lite.

Which is better, DeepSeek-V4.1-Flash or Seed 2.0 Lite?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 31.9. DeepSeek-V4.1-Flash is made by DeepSeek and Seed 2.0 Lite 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 compare to Seed 2.0 Lite in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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-V4.1-Flash and Seed 2.0 Lite?

DeepSeek-V4.1-Flash 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-V4.1-Flash and Seed 2.0 Lite?

Key differences include LLM Stats Score (51.8 vs 31.9), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Seed 2.0 Lite?

DeepSeek-V4.1-Flash is developed by DeepSeek and Seed 2.0 Lite is developed by ByteDance.