DeepSeek VL2 Tiny vs Ling 3.1 Flash
Ling 3.1 Flash leads the LLM Stats Score 51.0 to -4.7.
DeepSeek · InclusionAI · Updated for 2026
Which is better?
Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to -4.7, ranking #15 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2 Tiny
- you need open weights you can self-host or fine-tune
Choose Ling 3.1 Flash
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
14 reported for DeepSeek VL2 Tiny · 11 for Ling 3.1 Flash
DeepSeek VL2 Tiny and Ling 3.1 Flashdon'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
Ling 3.1 Flash has 557.0B more parameters than DeepSeek VL2 Tiny, making it 18566.7% larger.
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 Tiny supports multimodal inputs, whereas Ling 3.1 Flash does not.
DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2 Tiny
Ling 3.1 Flash
Release Timeline
When each model was launched
DeepSeek VL2 Tiny was released on 2024-12-13, while Ling 3.1 Flash was released on 2026-09-30.
Ling 3.1 Flash is 22 months newer than DeepSeek VL2 Tiny.
Dec 13, 2024
1.8 years ago
Sep 30, 2026
1 weeks ago
1.8yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 Tiny and Ling 3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 Tiny vs Ling 3.1 Flash.