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DeepSeek-V4.1-Flash vs DeepSeek VL2 Tiny

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.7.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -4.7, ranking #13 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose DeepSeek VL2 Tiny

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
DeepSeek VL2 Tiny
DeepSeek
Core performance indexes
LLM Stats Score
51.8
#13
-4.7
#351
Reasoning
48.9
#18
-12.7
#362
Cost, coverage & limits
Benchmark wins
—
—
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

2 shared
Index
DeepSeek-V4.1-Flash
DeepSeek VL2 Tiny
Vision
29.5#31
-5.1#200
Multimodal
34.3#13
-3.0#161
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 14 for DeepSeek VL2 Tiny

No common benchmarks found

DeepSeek-V4.1-Flash and DeepSeek VL2 Tinydon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

760.2B diff

DeepSeek-V4.1-Flash has 760.2B more parameters than DeepSeek VL2 Tiny, making it 25340.2% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
763.2B
DeepSeek-V4.1-Flash
3.0B
DeepSeek VL2 Tiny

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
DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and DeepSeek VL2 Tiny 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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while DeepSeek VL2 Tiny uses deepseek.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash

MIT

Open weights

DeepSeek VL2 Tiny

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while DeepSeek VL2 Tiny was released on 2024-12-13.

DeepSeek-V4.1-Flash is 21 months newer than DeepSeek VL2 Tiny.

DeepSeek-V4.1-Flash

Sep 10, 2026

5 days ago

1.7yr newer
DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years 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-V4.1-Flash and DeepSeek VL2 Tiny side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
DeepSeek VL2 Tiny
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs DeepSeek VL2 Tiny.

Which is better, DeepSeek-V4.1-Flash or DeepSeek VL2 Tiny?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.7. DeepSeek-V4.1-Flash is made by DeepSeek and DeepSeek VL2 Tiny is made by DeepSeek. 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 DeepSeek VL2 Tiny 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%. DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%.

What are the context window sizes for DeepSeek-V4.1-Flash and DeepSeek VL2 Tiny?

DeepSeek-V4.1-Flash supports 1.0M tokens and DeepSeek VL2 Tiny 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 DeepSeek VL2 Tiny?

Key differences include LLM Stats Score (51.8 vs -4.7), licensing (MIT vs deepseek). See the full comparison above for benchmark-by-benchmark results.

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