GPT-5.3 Codex Spark for Visual UI-to-Code Automation

Complete Analysis: 10,516 tokens for GPT-5.3 Codex Spark
🖼️ 1 Image

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.3 Codex Spark model with 1 Image.

🖼️ Multimodal Input
$0.079653 Total Cost
10,516 Total Tokens
10.00 seconds Processing Time
980 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.3 Codex Spark
OpenAIMax Context: 200,000 tokens
$1.75 / $14 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.079653 Total Cost
$0.009653 Input Cost
$0.070000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,516Total Tokens
$0.007574Cost per 1K
132,023Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10.91s Processing Time
1,000 Tokens/Second
100ms Time to First Token
980 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

GPT-5.3 Codex Spark OpenAI

$0.079653
Total Cost
🖼️ 1 Image (Medium) 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.079653 Input: $0.009653
Output: $0.070000
Optimized Cost $0.079653 Input: $0.009653
Output: $0.070000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516 tokens

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: Medium
Tokens: 516
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 5,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.009653
  • Output Cost: $0.070000
  • Total Cost: $0.079653
  • Cost per 1K tokens: $0.007574 (rounded ~ 0.01)
  • Tokens per dollar: 132,023 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 100ms time to first token:

  • Processing Time: 10.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

UI AutomationFrontend DevDesign-to-Code

✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 5,000
Output Tokens: 5,000
Images: 1 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark
🏆 Mistral Small 3
Mistral AI
 $0.002462 (rounded ~ 0.00) Best Value ↓ 96.9% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.002552 (rounded ~ 0.00) ↓ 96.8% cheaper
🥉 Grok 4.1 Fast
xAI
 $0.003603 (rounded ~ 0.00) ↓ 95.5% cheaper
#4 Mistral Vibe
Mistral AI
 $0.003693 (rounded ~ 0.00) ↓ 95.4% cheaper
#5 Ministral 3
Mistral AI
 $0.004053 (rounded ~ 0.00) ↓ 94.9% cheaper
#6 Llama 4 Maverick (400B)
Meta AI
 $0.006035 (rounded ~ 0.01) ↓ 92.4% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.025516 (rounded ~ 0.03) ↓ 68% cheaper
#8 o4-mini
OpenAI
 $0.028068 (rounded ~ 0.03) ↓ 64.8% cheaper
#9 Mistral Large 3
Mistral AI
 $0.054038 (rounded ~ 0.05) ↓ 32.2% cheaper
#10 Gemini 3.1 Pro
Google
 $0.071032 (rounded ~ 0.07) ↓ 10.8% cheaper
#11 GPT-5.4 Thinking
OpenAI
 $0.088790 (rounded ~ 0.09) ↑ 11.5% more
#12 Claude Sonnet 4.6
Anthropic
 $0.091548 (rounded ~ 0.09) ↑ 14.9% more
#13 Grok 4.1
xAI
 $0.091548 (rounded ~ 0.09) ↑ 14.9% more
#14 Claude Opus 4.6
Anthropic
 $0.152580 (rounded ~ 0.15) ↑ 91.6% more
#15 o3 Deep Research
OpenAI
 $0.255160 (rounded ~ 0.26) ↑ 220.3% more
#16 o3 Pro
OpenAI
 $0.510320 ↑ 540.7% more
#17 GPT-5.2 Pro
OpenAI
 $0.955836 (rounded ~ 0.96) ↑ 1100% more
#18 GPT-5.2 Pro
OpenAI
 $0.955836 (rounded ~ 0.96) ↑ 1100% more
🏆

Mistral Small 3
Mistral AI

$0.002462 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark: ↓ 96.9%
🥈

Gemini 3.1 Flash Lite
Google

$0.002552 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark: ↓ 96.8%
🥉

Grok 4.1 Fast
xAI

$0.003603 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark: ↓ 95.5%
#4

Mistral Vibe
Mistral AI

$0.003693 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark: ↓ 95.4%
#5

Ministral 3
Mistral AI

$0.004053 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark: ↓ 94.9%
#6

Llama 4 Maverick (400B)
Meta AI

$0.006035 (rounded ~ 0.01)
vs GPT-5.3 Codex Spark: ↓ 92.4%
#7

o4-mini Deep Research
OpenAI

$0.025516 (rounded ~ 0.03)
vs GPT-5.3 Codex Spark: ↓ 68%
#8

o4-mini
OpenAI

$0.028068 (rounded ~ 0.03)
vs GPT-5.3 Codex Spark: ↓ 64.8%
#9

Mistral Large 3
Mistral AI

$0.054038 (rounded ~ 0.05)
vs GPT-5.3 Codex Spark: ↓ 32.2%
#10

Gemini 3.1 Pro
Google

$0.071032 (rounded ~ 0.07)
vs GPT-5.3 Codex Spark: ↓ 10.8%
#11

GPT-5.4 Thinking
OpenAI

$0.088790 (rounded ~ 0.09)
vs GPT-5.3 Codex Spark: ↑ 11.5%
#12

Claude Sonnet 4.6
Anthropic

$0.091548 (rounded ~ 0.09)
vs GPT-5.3 Codex Spark: ↑ 14.9%
#13

Grok 4.1
xAI

$0.091548 (rounded ~ 0.09)
vs GPT-5.3 Codex Spark: ↑ 14.9%
#14

Claude Opus 4.6
Anthropic

$0.152580 (rounded ~ 0.15)
vs GPT-5.3 Codex Spark: ↑ 91.6%
#15

o3 Deep Research
OpenAI

$0.255160 (rounded ~ 0.26)
vs GPT-5.3 Codex Spark: ↑ 220.3%
#16

o3 Pro
OpenAI

$0.510320
vs GPT-5.3 Codex Spark: ↑ 540.7%
#17

GPT-5.2 Pro
OpenAI

$0.955836 (rounded ~ 0.96)
vs GPT-5.3 Codex Spark: ↑ 1100%
#18

GPT-5.2 Pro
OpenAI

$0.955836 (rounded ~ 0.96)
vs GPT-5.3 Codex Spark: ↑ 1100%
✨ How recommendations work: We scan all active models in the registry that support your current inputs (🖼️ Images), calculate costs with all your parameters, and sort by total cost (cheapest first). Features marked requested were in your inputs but not supported by that model.

Screenshot to Production-Ready App

Calculate the cost of turning Figma designs or UI screenshots into React/Vue code. Codex Spark is the premier visual coding model for 2026.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing.
How are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
How do Market Recommendations work?
Our recommendation engine scans the entire model registry for alternatives that support all your current input parameters (images, video, audio, OCR, tools, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options available in the market.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.