Cost for 5K Context Code Suggestions: GPT-5.3 Codex Spark

Complete Analysis: 5,500 tokens for GPT-5.3 Codex Spark
⚡ 70% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.3 Codex Spark model with 70% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.010238 Total Cost
5,500 Total Tokens
6.07 seconds Processing Time
935 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)
70%
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.

Calculate Token Costs

$0.002625 Input Cost
$0.007000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,500Total Tokens
$0.001861Cost per 1K
537,241Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6.07s Processing Time
1,000 Tokens/Second
100ms Time to First Token
935 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

$0.010238
Total Cost
⚡ 70% Cached 🔧 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) $0.015750 (rounded ~ $0.02) Input: $0.008750 (rounded ~ $0.01)
Output: $0.007000 (rounded ~ $0.01)
Optimized Cost $0.010238 Input: $0.008750 (rounded ~ $0.01)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005513 (rounded ~ $0.01) 35.0% discount

Detailed Cost Analysis (from Plugin)

For 5,000 input tokens and 500 output tokens:

  • Input Cost: $0.008750 (rounded ~ $0.01)
  • Output Cost: $0.007000 (rounded ~ $0.01)
  • Total Cost: $0.010238
  • Cost per 1K tokens: $0.001861
  • Tokens per dollar: 537,241 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: 6.07 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for real-time code completion in IDEsrapid prototypingand developer tools where low latency and specialized coding accuracy are paramount.

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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: 500
Cached Tokens: 70%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark
🏆 Mistral Small 3
Mistral AI
$0.000335 Best Value ↓ 96.7% cheaper
🥈 Grok Code Fast 1
xAI
$0.001120 ↓ 89.1% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.001213 ↓ 88.2% cheaper
#4 Mistral Large 3
Mistral AI
$0.001675 ↓ 83.6% cheaper
#5 Gemini 2.5 Flash
Google
$0.001805 ↓ 82.4% cheaper
#6 Gemini 3.1 Flash
Google
$0.002425 ↓ 76.3% cheaper
#7 Kimi K2.5
Moonshot AI
$0.002757 ↓ 73.1% cheaper
#8 Grok 4.3
xAI
$0.003563 ↓ 65.2% cheaper
#9 GPT-5.4 mini
OpenAI
$0.003638 ↓ 64.5% cheaper
#10 o4-mini Deep Research
OpenAI
$0.003850 ↓ 62.4% cheaper
#11 Kimi K2.6
Moonshot AI
$0.003990 ↓ 61% cheaper
#12 o4-mini
OpenAI
$0.004235 ↓ 58.6% cheaper
#13 Claude Haiku 4.5
Anthropic
$0.004350 ↓ 57.5% cheaper
#14 Grok 4.20 Beta
xAI
$0.006700 (rounded ~ $0.01) ↓ 34.6% cheaper
#15 Gemini 3.5 Flash
Google
$0.007275 (rounded ~ $0.01) ↓ 28.9% cheaper
#16 Gemini 2.5 Pro
Google
$0.007313 (rounded ~ $0.01) ↓ 28.6% cheaper
#17 Gemini 3.1 Pro
Google
$0.009700 ↓ 5.3% cheaper
#18 GPT-5.3 Instant
OpenAI
$0.010238 Same price
#19 GPT-5.4
OpenAI
$0.012125 (rounded ~ $0.01) ↑ 18.4% more
#20 GPT-5.4 Thinking
OpenAI
$0.012125 (rounded ~ $0.01) ↑ 18.4% more
#21 Claude Sonnet 4.6
Anthropic
$0.013050 (rounded ~ $0.01) ↑ 27.5% more
#22 Claude Opus 4.7
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 112.5% more
#23 Claude Opus 4.8
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 112.5% more
#24 Claude Opus 4.6
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 112.5% more
#25 GPT-5.5
OpenAI
$0.024250 (rounded ~ $0.02) ↑ 136.9% more
#26 GPT-5.5 Instant
OpenAI
$0.024250 (rounded ~ $0.02) ↑ 136.9% more
#27 o3 Deep Research
OpenAI
$0.038500 (rounded ~ $0.04) ↑ 276.1% more
#28 o3 Pro
OpenAI
$0.077000 (rounded ~ $0.08) ↑ 652.1% more
#29 GPT-5.2 Pro
OpenAI
$0.122850 (rounded ~ $0.12) ↑ 1100% more
#30 GPT-5.2 Pro
OpenAI
$0.122850 (rounded ~ $0.12) ↑ 1100% more
🏆

Mistral Small 3
Mistral AI

$0.000335
vs GPT-5.3 Codex Spark: ↓ 96.7%
🥈

Grok Code Fast 1
xAI

$0.001120
vs GPT-5.3 Codex Spark: ↓ 89.1%
🥉

Gemini 3.1 Flash Lite
Google

$0.001213
vs GPT-5.3 Codex Spark: ↓ 88.2%
#4

Mistral Large 3
Mistral AI

$0.001675
vs GPT-5.3 Codex Spark: ↓ 83.6%
#5

Gemini 2.5 Flash
Google

$0.001805
vs GPT-5.3 Codex Spark: ↓ 82.4%
#6

Gemini 3.1 Flash
Google

$0.002425
vs GPT-5.3 Codex Spark: ↓ 76.3%
#7

Kimi K2.5
Moonshot AI

$0.002757
vs GPT-5.3 Codex Spark: ↓ 73.1%
#8

Grok 4.3
xAI

$0.003563
vs GPT-5.3 Codex Spark: ↓ 65.2%
#9

GPT-5.4 mini
OpenAI

$0.003638
vs GPT-5.3 Codex Spark: ↓ 64.5%
#10

o4-mini Deep Research
OpenAI

$0.003850
vs GPT-5.3 Codex Spark: ↓ 62.4%
#11

Kimi K2.6
Moonshot AI

$0.003990
vs GPT-5.3 Codex Spark: ↓ 61%
#12

o4-mini
OpenAI

$0.004235
vs GPT-5.3 Codex Spark: ↓ 58.6%
#13

Claude Haiku 4.5
Anthropic

$0.004350
vs GPT-5.3 Codex Spark: ↓ 57.5%
#14

Grok 4.20 Beta
xAI

$0.006700 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 34.6%
#15

Gemini 3.5 Flash
Google

$0.007275 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28.9%
#16

Gemini 2.5 Pro
Google

$0.007313 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28.6%
#17

Gemini 3.1 Pro
Google

$0.009700
vs GPT-5.3 Codex Spark: ↓ 5.3%
#18

GPT-5.3 Instant
OpenAI

$0.010238
vs GPT-5.3 Codex Spark: Same
#19

GPT-5.4
OpenAI

$0.012125 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 18.4%
#20

GPT-5.4 Thinking
OpenAI

$0.012125 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 18.4%
#21

Claude Sonnet 4.6
Anthropic

$0.013050 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 27.5%
#22

Claude Opus 4.7
Anthropic

$0.021750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 112.5%
#23

Claude Opus 4.8
Anthropic

$0.021750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 112.5%
#24

Claude Opus 4.6
Anthropic

$0.021750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 112.5%
#25

GPT-5.5
OpenAI

$0.024250 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 136.9%
#26

GPT-5.5 Instant
OpenAI

$0.024250 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 136.9%
#27

o3 Deep Research
OpenAI

$0.038500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 276.1%
#28

o3 Pro
OpenAI

$0.077000 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 652.1%
#29

GPT-5.2 Pro
OpenAI

$0.122850 (rounded ~ $0.12)
vs GPT-5.3 Codex Spark: ↑ 1100%
#30

GPT-5.2 Pro
OpenAI

$0.122850 (rounded ~ $0.12)
vs GPT-5.3 Codex Spark: ↑ 1100%
✨ 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.

For IDEs seeking to enhance developer productivity with inline code suggestions, understanding the cost dynamics of specialized models is crucial. GPT-5.3 Codex Spark is engineered specifically for real-time coding assistance, offering near-instantaneous responses essential for maintaining a fluid development workflow. Its strength lies in its ability to quickly generate relevant code snippets, understand complex code structures within its context window, and integrate seamlessly into developer tools like IDE extensions.

While it may not possess the same depth of general reasoning as broader models, its optimization for speed and code accuracy makes it a prime candidate for immediate, context-aware suggestions. The model’s ability to process up to 128K tokens means it can effectively analyze substantial portions of existing code to provide highly relevant suggestions, balancing rapid iteration with the need for intelligent code completion. This focus on developer experience through speed and specialized coding intelligence positions GPT-5.3 Codex Spark as a valuable asset for any modern IDE.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.