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DeepSeek VL2 vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 2.9.

DeepSeek · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 2.9, ranking #15 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2

  • 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.

Core performance indexes
2.9
#327
51.0
#15
-1.9
#345
47.5
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
—

Individual benchmarks

14 reported for DeepSeek VL2 · 11 for Ling 3.1 Flash

No common benchmarks found

DeepSeek VL2 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

533.0B diff

Ling 3.1 Flash has 533.0B more parameters than DeepSeek VL2, making it 1974.1% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
InclusionAI
Ling 3.1 Flash
560.0Bparameters
27.0B
DeepSeek VL2
560.0B
Ling 3.1 Flash

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 supports multimodal inputs, whereas Ling 3.1 Flash does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek VL2 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.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

1.8yr newer

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?

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Ling 3.1 Flash.

Which is better, DeepSeek VL2 or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 2.9. DeepSeek VL2 is made by DeepSeek and Ling 3.1 Flash is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 compare to Ling 3.1 Flash in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%.

What are the context window sizes for DeepSeek VL2 and Ling 3.1 Flash?

DeepSeek VL2 supports 129K tokens and Ling 3.1 Flash 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 VL2 and Ling 3.1 Flash?

Key differences include LLM Stats Score (2.9 vs 51.0), multimodal support (yes vs no), licensing (deepseek vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Ling 3.1 Flash?

DeepSeek VL2 is developed by DeepSeek and Ling 3.1 Flash is developed by InclusionAI.