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  1. Home
  2. AI Models
  3. Multimodal
  4. DeepSeek-VL
open sourcemultimodal

DeepSeek-VL

Free vision AI specialized for charts, equations, and dense documents

Developed by DeepSeek-AI

Try Model
1.3B / 7B (VL) / 27B MoE (VL2)Params
YesAPI
stableStability
DeepSeek-VL2Version
DeepSeek License (commercial use allowed)License
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
[Image: scientific research paper page with 2 charts and equations] Summarize the main finding shown in Chart B and explain Equation 3.

Model Output

model response
Chart B shows that the model's accuracy increases logarithmically with training data — gains plateau after ~10M samples, suggesting diminishing returns beyond that scale. Equation 3 expresses this relationship: Accuracy = α + β·log(N), where α=0.42 is the baseline accuracy with no training, β=0.07 is the per-decade learning rate, and N is the dataset size in samples.

Examples

Real-World Applications

  • Scientific paper analysis
  • financial chart interpretation
  • invoice and contract Q&A
  • equation OCR
  • technical diagram understanding
  • multi-page document analysis.

Docs

Model Intelligence & Architecture

What is DeepSeek-VL?

DeepSeek-VL is the vision-language family from DeepSeek-AI, first released in March 2024 and dramatically upgraded with DeepSeek-VL2 in late 2024. It's specifically designed for real-world visual tasks — charts, diagrams, scientific papers, scanned documents, and complex screenshots.

DeepSeek-VL is released under DeepSeek's permissive license, free for commercial use including by mid-size companies.

Why DeepSeek-VL Is Trending in 2026

While LLaVA gets more attention in the West, DeepSeek-VL has emerged as a top performer on real-world benchmarks — especially on tasks involving complex visual reasoning over charts, equations, and dense documents.

DeepSeek-VL2 uses a Mixture-of-Experts architecture that activates only 4.5B parameters per token while having 27B total — delivering frontier quality at a fraction of inference cost.

Key Features and Capabilities

DeepSeek-VL supports image captioning, visual Q&A, OCR, chart understanding, scientific diagram interpretation, multi-image reasoning, document Q&A, and bilingual (English-Chinese) visual tasks.

The VL2 series adds dynamic image tiling for high-resolution input and supports up to 1024×1024 input images with sharp text recognition.

Who Should Use DeepSeek-VL?

DeepSeek-VL is built for document-AI engineers, scientific paper analysis teams, education tech developers, OCR application builders, and bilingual content moderation teams.

Top Use Cases

Real-world applications include scientific paper analysis, financial chart interpretation, document Q&A for invoices and contracts, equation OCR for math AI, technical diagram understanding, multi-page document analysis, and bilingual visual content tagging.

Where Can You Run It?

DeepSeek-VL runs on Hugging Face Transformers, vLLM, and DeepSeek's official inference toolkit. The 7B model fits in 16 GB VRAM at full precision; VL2 (27B MoE) needs ~60 GB BF16 or ~20 GB at 4-bit.

How to Use DeepSeek-VL (Quick Start)

Load via Hugging Face: AutoModelForCausalLM.from_pretrained('deepseek-ai/deepseek-vl-7b-chat', trust_remote_code=True). Pass images alongside text prompts using the included VLChatProcessor.

When Should You Choose DeepSeek-VL?

Choose DeepSeek-VL when you need strong real-world visual reasoning, especially on charts, scientific content, and dense documents. For lighter deployment, use LLaVA-NeXT or Gemma 3.

Pricing

DeepSeek-VL is free for commercial use under DeepSeek's license. The DeepSeek API offers ultra-low-cost hosted access.

Pros and Cons

Pros: ✔ Free commercial use ✔ Strong on charts and diagrams ✔ Excellent OCR ✔ DeepSeek-VL2 MoE efficiency ✔ Bilingual EN/ZH ✔ Active development

Cons: ✘ Custom DeepSeek license ✘ Less popular than LLaVA in West ✘ Requires trust_remote_code ✘ Heavier than LLaVA-7B

Final Verdict

DeepSeek-VL is one of the most capable open-source visual AIs in 2026, especially for technical content. Discover more multimodal AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Free for commercial use
  • ✓ Strong on charts and diagrams
  • ✓ Excellent OCR
  • ✓ DeepSeek-VL2 MoE efficiency
  • ✓ Bilingual English-Chinese
  • ✓ Active development
Limitations
  • ✗ Custom DeepSeek license
  • ✗ Less popular than LLaVA in the West
  • ✗ Requires trust_remote_code
  • ✗ Heavier than LLaVA-7B

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Vision Encoder + LLM (with MoE in VL2)
Stability
stable
Framework
PyTorch
License
DeepSeek License (commercial use allowed)
Release Date
2024-03-08
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Free self-hosting; DeepSeek API ultra-low-cost

Best For

Document-AI teams needing strong chart, equation, and dense-document understanding

Alternative To

GPT-4V, Claude Vision, LLaVA

Compare With

deepseek-vl vs llavadeepseek-vl2 vs gpt-4vdeepseek-vl vs cogvlmbest open chart understanding aifree document ai

Tags

#OCR AI#Document AI#Vision Language#Deepseek#Open Source AI#Multimodal AI

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