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
10.91 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

$0.009653 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
Manual thinking tokens (billed at output rate)

🔧 Special Modes
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: 10.91 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

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✨ 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
$0.002052 Best Value ↓ 97.4% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
$0.003992 ↓ 95% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.008879 (rounded ~ $0.01) ↓ 88.9% cheaper
#4 Mistral Large 3
Mistral AI
$0.011258 (rounded ~ $0.01) ↓ 85.9% cheaper
#5 Gemini 2.5 Flash
Google
$0.014155 (rounded ~ $0.01) ↓ 82.2% cheaper
#6 Gemini 3.1 Flash
Google
$0.017758 (rounded ~ $0.02) ↓ 77.7% cheaper
#7 Kimi K2.5
Moonshot AI
$0.018310 (rounded ~ $0.02) ↓ 77% cheaper
#8 Grok 4.3
xAI
$0.019395 ↓ 75.7% cheaper
#9 Kimi K2.6
Moonshot AI
$0.025240 (rounded ~ $0.03) ↓ 68.3% cheaper
#10 o4-mini Deep Research
OpenAI
$0.025516 (rounded ~ $0.03) ↓ 68% cheaper
#11 GPT-5.4 mini
OpenAI
$0.026637 (rounded ~ $0.03) ↓ 66.6% cheaper
#12 o4-mini
OpenAI
$0.028068 (rounded ~ $0.03) ↓ 64.8% cheaper
#13 Claude Haiku 4.5
Anthropic
$0.030516 ↓ 61.7% cheaper
#14 Gemini 3.5 Flash
Google
$0.053274 (rounded ~ $0.05) ↓ 33.1% cheaper
#15 Gemini 2.5 Pro
Google
$0.056895 (rounded ~ $0.06) ↓ 28.6% cheaper
#16 Gemini 3.1 Pro
Google
$0.071032 (rounded ~ $0.07) ↓ 10.8% cheaper
#17 GPT-5.3 Instant
OpenAI
$0.079653 Same price
#18 GPT-5.4
OpenAI
$0.088790 (rounded ~ $0.09) ↑ 11.5% more
#19 GPT-5.4 Thinking
OpenAI
$0.088790 (rounded ~ $0.09) ↑ 11.5% more
#20 Claude Sonnet 4.6
Anthropic
$0.091548 (rounded ~ $0.09) ↑ 14.9% more
#21 Claude Opus 4.7
Anthropic
$0.152580 (rounded ~ $0.15) ↑ 91.6% more
#22 Claude Opus 4.8
Anthropic
$0.152580 (rounded ~ $0.15) ↑ 91.6% more
#23 Claude Opus 4.6
Anthropic
$0.152580 (rounded ~ $0.15) ↑ 91.6% more
#24 GPT-5.5
OpenAI
$0.177580 (rounded ~ $0.18) ↑ 122.9% more
#25 GPT-5.5 Instant
OpenAI
$0.177580 (rounded ~ $0.18) ↑ 122.9% more
#26 o3 Deep Research
OpenAI
$0.255160 (rounded ~ $0.26) ↑ 220.3% more
#27 o3 Pro
OpenAI
$0.510320 ↑ 540.7% more
#28 GPT-5.2 Pro
OpenAI
$0.955836 (rounded ~ $0.96) ↑ 1100% more
#29 GPT-5.5 Pro
OpenAI
$1.065480 (rounded ~ $1.07) ↑ 1237.7% more
#30 GPT-5.5 Pro
OpenAI
$1.065480 (rounded ~ $1.07) ↑ 1237.7% more
🏆

Mistral Small 3
Mistral AI

$0.002052
vs GPT-5.3 Codex Spark: ↓ 97.4%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.003992
vs GPT-5.3 Codex Spark: ↓ 95%
🥉

Gemini 3.1 Flash Lite
Google

$0.008879 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 88.9%
#4

Mistral Large 3
Mistral AI

$0.011258 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 85.9%
#5

Gemini 2.5 Flash
Google

$0.014155 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 82.2%
#6

Gemini 3.1 Flash
Google

$0.017758 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 77.7%
#7

Kimi K2.5
Moonshot AI

$0.018310 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 77%
#8

Grok 4.3
xAI

$0.019395
vs GPT-5.3 Codex Spark: ↓ 75.7%
#9

Kimi K2.6
Moonshot AI

$0.025240 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 68.3%
#10

o4-mini Deep Research
OpenAI

$0.025516 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 68%
#11

GPT-5.4 mini
OpenAI

$0.026637 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 66.6%
#12

o4-mini
OpenAI

$0.028068 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 64.8%
#13

Claude Haiku 4.5
Anthropic

$0.030516
vs GPT-5.3 Codex Spark: ↓ 61.7%
#14

Gemini 3.5 Flash
Google

$0.053274 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↓ 33.1%
#15

Gemini 2.5 Pro
Google

$0.056895 (rounded ~ $0.06)
vs GPT-5.3 Codex Spark: ↓ 28.6%
#16

Gemini 3.1 Pro
Google

$0.071032 (rounded ~ $0.07)
vs GPT-5.3 Codex Spark: ↓ 10.8%
#17

GPT-5.3 Instant
OpenAI

$0.079653
vs GPT-5.3 Codex Spark: Same
#18

GPT-5.4
OpenAI

$0.088790 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 11.5%
#19

GPT-5.4 Thinking
OpenAI

$0.088790 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 11.5%
#20

Claude Sonnet 4.6
Anthropic

$0.091548 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 14.9%
#21

Claude Opus 4.7
Anthropic

$0.152580 (rounded ~ $0.15)
vs GPT-5.3 Codex Spark: ↑ 91.6%
#22

Claude Opus 4.8
Anthropic

$0.152580 (rounded ~ $0.15)
vs GPT-5.3 Codex Spark: ↑ 91.6%
#23

Claude Opus 4.6
Anthropic

$0.152580 (rounded ~ $0.15)
vs GPT-5.3 Codex Spark: ↑ 91.6%
#24

GPT-5.5
OpenAI

$0.177580 (rounded ~ $0.18)
vs GPT-5.3 Codex Spark: ↑ 122.9%
#25

GPT-5.5 Instant
OpenAI

$0.177580 (rounded ~ $0.18)
vs GPT-5.3 Codex Spark: ↑ 122.9%
#26

o3 Deep Research
OpenAI

$0.255160 (rounded ~ $0.26)
vs GPT-5.3 Codex Spark: ↑ 220.3%
#27

o3 Pro
OpenAI

$0.510320
vs GPT-5.3 Codex Spark: ↑ 540.7%
#28

GPT-5.2 Pro
OpenAI

$0.955836 (rounded ~ $0.96)
vs GPT-5.3 Codex Spark: ↑ 1100%
#29

GPT-5.5 Pro
OpenAI

$1.065480 (rounded ~ $1.07)
vs GPT-5.3 Codex Spark: ↑ 1237.7%
#30

GPT-5.5 Pro
OpenAI

$1.065480 (rounded ~ $1.07)
vs GPT-5.3 Codex Spark: ↑ 1237.7%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider 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 (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
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.