OpenAI GPT-4 Vision Model Specifications

Last Updated: December 24, 2025

Overview

GPT-4 Vision (also referenced as gpt-4-vision-preview in early releases) is OpenAI's multimodal model that combines text and image understanding capabilities. This model is part of the GPT-4 family and represents a significant advancement in vision-language AI capabilities.

Technical Specifications

Core Capabilities

Feature	Details
Vision Understanding	Multimodal vision-language understanding
Image Processing	Analyzes images in multiple formats
Text Analysis	Maintains GPT-4 level language understanding
Context Window	8,192 tokens (base) / 32,768 tokens (extended)
Training Data Cutoff	April 2024 (varies by version)
Response Latency	Moderate (slower than GPT-4 Turbo)

Supported Image Formats

• JPEG (.jpg, .jpeg)
• PNG (.png)
• GIF (.gif)
• WebP (.webp)

Image Parameters

Parameter	Details
Max Image Size	20MB per image
Image Count	Multiple images supported in single request
Resolution Handling	Automatic optimization
Detail Level	low, high (affects token usage)

Use Cases

Ideal Applications

1. Document Analysis - Extract and understand text from documents
2. Visual Q&A - Answer questions about image content
3. Content Moderation - Analyze image appropriateness
4. Data Extraction - Read charts, tables, forms from images
5. Accessibility - Generate descriptions for images
6. Diagram Analysis - Understand technical and business diagrams
7. Logo/Brand Analysis - Identify and analyze visual branding

Not Suitable For

• Image Generation - Use DALL-E instead
• Real-time Processing - Consider specialized vision models
• High-volume Low-latency - Text-only models are faster
• Specialized Medical/Scientific Vision - Use domain-specific models

Model Identifiers

Identifier	Status	Notes
openai/gpt-4-vision	Not Available on LangMart	Deprecated/Superseded
gpt-4-vision-preview	Deprecated	Early release identifier
gpt-4-turbo-with-vision	Legacy	Older vision-capable variant
gpt-4o	Current Recommended	Successor with improved vision capabilities

Current Status on LangMart

Availability: ⚠️ Not Currently Available

The openai/gpt-4-vision model is not currently accessible through LangMart's platform. This appears to be due to:

• Deprecation: OpenAI has moved to newer model variants (GPT-4 Turbo, GPT-4o)
• Model Consolidation: Vision capabilities are now integrated into newer models like GPT-4o
• API Versioning: OpenRouter may not maintain older vision preview models

To Request: Users can request model availability through LangMart's Discord community

Recommended Alternatives

GPT-4o (Current Standard)

• Model ID: openai/gpt-4o
• Status: ✅ Available on LangMart
• Capabilities: Enhanced vision, improved reasoning, faster processing
• Context Window: 128,000 tokens
• Vision Support: Native multimodal (text + images + audio)

GPT-4 Turbo with Vision (Legacy)

• Model ID: openai/gpt-4-turbo-2024-04-09
• Status: Available (legacy)
• Context Window: 128,000 tokens
• Vision Support: Image understanding

Pricing

Type	Price
Input	$10.00 per 1M tokens
Output	$30.00 per 1M tokens

Note: GPT-4 Vision is deprecated. Use GPT-4o or GPT-4 Turbo for vision capabilities instead.

Pricing Model

OpenAI Direct Pricing (as reference)

Image processing uses token-based pricing:

• Image Token Cost: Varies by resolution and detail level
  • low detail: ~85 tokens per image
  • high detail: ~170 tokens (standard) to ~2,600+ tokens (complex)
• Text Tokens: Standard GPT-4 pricing ($30 input / $60 output per 1M tokens)

LangMart Pricing

GPT-4 Vision is not listed on LangMart's current pricing. For available models:

• Service Fee: 5.5% platform fee on pay-as-you-go plans
• No Markup Model: OpenRouter charges provider rates + platform fee
• Pricing Format: Per 1M tokens (input/output shown separately)

Current OpenRouter OpenAI Options:

• GPT-4o Pricing
• GPT-4 Turbo Pricing

Performance Metrics

Vision Capabilities

• Object Recognition: Excellent (identifying objects, text, scenes)
• Text Extraction (OCR): Strong (reads text in images)
• Spatial Understanding: Good (relationships between objects)
• Chart/Graph Analysis: Capable (interpreting data visualizations)
• Diagram Analysis: Strong (understanding technical diagrams)

Language Understanding

• Maintains GPT-4 level comprehension
• Strong reasoning and context awareness
• Handles complex multi-step instructions

Limitations

• Cannot generate images (vision-only, not generative)
• Image processing slower than text-only models
• Higher token consumption per image input
• May struggle with very small text in images

API Parameters & Usage

Request Structure (Legacy Example)

{
  "model": "gpt-4-vision-preview",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What's in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.jpg",
            "detail": "high"
          }
        }
      ]
    }
  ],
  "max_tokens": 1024
}

Key Parameters

Parameter	Type	Notes
detail	string	low, high, or auto for image processing detail
max_tokens	integer	Maximum output tokens (required for vision)
temperature	float	0.0 to 2.0 (default: 1.0)
top_p	float	Nucleus sampling parameter
frequency_penalty	float	Penalize token repetition
presence_penalty	float	Encourage topic diversity

Related Models & Comparisons

Vision Comparison Matrix

Model	Provider	Vision	Cost	Latency	Context
GPT-4o	OpenAI	✅ Excellent	Medium	Low	128K
GPT-4 Turbo	OpenAI	✅ Good	Medium	Medium	128K
Claude 3 Vision	Anthropic	✅ Strong	Low	Low	200K
Gemini Pro Vision	Google	✅ Excellent	Low	Low	1M
LLaVA	Open Source	✅ Basic	Free	High	4K

Transition Path

GPT-4 Vision
    ↓
GPT-4 Turbo with Vision
    ↓
GPT-4o (Recommended - Current)
    ↓
GPT-4o mini (Lightweight alternative)

Integration with OpenRouter

Checking Availability

# List current OpenAI models on LangMart
curl "https://api.langmart.ai/v1/models" \
  -H "Authorization: Bearer YOUR_KEY" | jq '.models[] | select(.id | contains("openai"))'

# Compare OpenAI vision models
# Visit: https://langmart.ai/model-docs

Migration Guide

If using GPT-4 Vision and switching to GPT-4o on LangMart:

1. Update Model ID

   // Before
   model: "openai/gpt-4-vision"
   
   // After
   model: "openai/gpt-4o"
   

2. Maintain Compatibility

   • Same image format support
   • Same detail parameter options
   • Drop-in replacement for most use cases

3. Pricing Adjustment

   • GPT-4o typically has lower per-token costs
   • Better performance often justifies any cost difference

References & Documentation

• OpenRouter Models: https://langmart.ai/model-docs
• LangMart Pricing: https://langmart.ai/model-docs
• OpenRouter Documentation: https://langmart.ai/docs/guides/overview/models
• LangMart Community: https://langmart.ai/community
• OpenAI Pricing (Direct): https://openai.com/api/pricing/

Notes

• Deprecation Timeline: GPT-4 Vision has been gradually deprecated in favor of newer models
• OpenRouter Support: Contact LangMart Community for vision model availability requests
• Recommendations: For new projects, use GPT-4o or Claude 3 Vision instead
• Legacy Code: Existing code using GPT-4 Vision should migrate to GPT-4o for reliability

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Document Status: Archived Reference Model Status: ⚠️ Deprecated - Not Recommended for New Projects Last Verified: December 24, 2025