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DeepSeek VL2 Small vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 1.2.

DeepSeek · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to 1.2, ranking #41 overall.

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

Choose DeepSeek VL2 Small

  • you need open weights you can self-host or fine-tune

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.2 and ranks #41 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.

DeepSeek VL2 Small
DeepSeek
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
1.2
#320
43.2
#41
Reasoning
-4.0
#338
44.6
#33
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
262,144

Individual benchmarks

14 reported for DeepSeek VL2 Small · 6 for Ling 3.0 Flash Fin

No common benchmarks found

DeepSeek VL2 Small and Ling 3.0 Flash Findon'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

108.0B diff

Ling 3.0 Flash Fin has 108.0B more parameters than DeepSeek VL2 Small, making it 675.0% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
16.0B
DeepSeek VL2 Small
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Small supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 21 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

1 weeks ago

1.7yr 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Ling 3.0 Flash Fin.

Which is better, DeepSeek VL2 Small or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to 1.2. DeepSeek VL2 Small is made by DeepSeek and Ling 3.0 Flash Fin 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 Small compare to Ling 3.0 Flash Fin in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

What are the context window sizes for DeepSeek VL2 Small and Ling 3.0 Flash Fin?

DeepSeek VL2 Small supports an unknown number of tokens and Ling 3.0 Flash Fin supports 262K 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 Small and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (1.2 vs 43.2), multimodal support (yes vs no), licensing (deepseek vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Ling 3.0 Flash Fin?

DeepSeek VL2 Small is developed by DeepSeek and Ling 3.0 Flash Fin is developed by InclusionAI.

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