Per-Request Code Generation: 5K-Token Context for 100M-Token Monthly Scale

Complete Analysis: 5,500 tokens for GPT-5.3 Codex Spark
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.3 Codex Spark model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.011813 (rounded ~ $0.01) Total Cost
5,500 Total Tokens
5.79 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)
50%
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

$0.011813 Total Cost
$0.004375 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
$0.002148Cost per 1K
465,608Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5.79s 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

$0.011813 (rounded ~ $0.01)
Total Cost
⚡ 50% 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 $0.011813 (rounded ~ $0.01) Input: $0.008750 (rounded ~ $0.01)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003938 25.0% 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: $0.011813 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.002148
  • Tokens per dollar: 465,608 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: 5.79 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

High-frequency inline code generation and agentic IDE features requiring low latency and high context accuracy.

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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: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark
🏆 Mistral Small 3
Mistral AI
 $0.000425 Best Value ↓ 96.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.001300 ↓ 89% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.001438 ↓ 87.8% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.002075 ↓ 82.4% cheaper
#5 Gemini 2.5 Flash
Google
 $0.002075 ↓ 82.4% cheaper
#6 Mistral Large 3
Mistral AI
 $0.002125 ↓ 82% cheaper
#7 Gemini 3.1 Flash
Google
 $0.002875 ↓ 75.7% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.003255 ↓ 72.4% cheaper
#9 Grok Build 0.1
xAI
 $0.003750 ↓ 68.3% cheaper
#10 Gemini 3.8 Flash
Google
 $0.003938 ↓ 66.7% cheaper
#11 GPT-5.4 mini
OpenAI
 $0.004313 ↓ 63.5% cheaper
#12 Grok 4.3
xAI
 $0.004688 ↓ 60.3% cheaper
#13 Grok 4.20 Beta
xAI
 $0.004688 ↓ 60.3% cheaper
#14 o4-mini Deep Research
OpenAI
 $0.004750 ↓ 59.8% cheaper
#15 Kimi K2.6
Moonshot AI
 $0.004779 ↓ 59.5% cheaper
#16 Kimi K2.7 Code
Moonshot AI
 $0.004779 ↓ 59.5% cheaper
#17 o4-mini
OpenAI
 $0.005225 (rounded ~ $0.01) ↓ 55.8% cheaper
#18 Claude Haiku 4.5
Anthropic
 $0.005250 (rounded ~ $0.01) ↓ 55.6% cheaper
#19 GPT-5.6 Luna
OpenAI
 $0.005750 (rounded ~ $0.01) ↓ 51.3% cheaper
#20 Gemini 3.6 Flash
Google
 $0.007875 (rounded ~ $0.01) ↓ 33.3% cheaper
#21 Gemini 2.5 Pro
Google
 $0.008438 (rounded ~ $0.01) ↓ 28.6% cheaper
#22 Grok 4.6
xAI
 $0.008500 (rounded ~ $0.01) ↓ 28% cheaper
#23 Grok 4.5
xAI
 $0.008500 (rounded ~ $0.01) ↓ 28% cheaper
#24 Gemini 3.5 Flash
Google
 $0.008625 (rounded ~ $0.01) ↓ 27% cheaper
#25 Claude Sonnet 5
Anthropic
 $0.010500 ↓ 11.1% cheaper
#26 Gemini 3.1 Pro
Google
 $0.011500 (rounded ~ $0.01) ↓ 2.6% cheaper
#27 GPT-5.3 Instant
OpenAI
 $0.011813 (rounded ~ $0.01) Same price
#28 GPT-5.4
OpenAI
 $0.014375 (rounded ~ $0.01) ↑ 21.7% more
#29 GPT-5.4 Thinking
OpenAI
 $0.014375 (rounded ~ $0.01) ↑ 21.7% more
#30 GPT-5.6 Terra
OpenAI
 $0.014375 (rounded ~ $0.01) ↑ 21.7% more
#31 Claude Sonnet 4.6
Anthropic
 $0.015750 (rounded ~ $0.02) ↑ 33.3% more
#32 Claude Opus 4.7
Anthropic
 $0.026250 (rounded ~ $0.03) ↑ 122.2% more
#33 Claude Opus 5
Anthropic
 $0.026250 (rounded ~ $0.03) ↑ 122.2% more
#34 Claude Opus 4.8
Anthropic
 $0.026250 (rounded ~ $0.03) ↑ 122.2% more
#35 Claude Opus 4.6
Anthropic
 $0.026250 (rounded ~ $0.03) ↑ 122.2% more
#36 GPT-5.5
OpenAI
 $0.028750 (rounded ~ $0.03) ↑ 143.4% more
#37 GPT-5.5 Instant
OpenAI
 $0.028750 (rounded ~ $0.03) ↑ 143.4% more
#38 GPT-5.6 Sol
OpenAI
 $0.028750 (rounded ~ $0.03) ↑ 143.4% more
#39 o3 Deep Research
OpenAI
 $0.047500 (rounded ~ $0.05) ↑ 302.1% more
#40 Claude Fable 5.1
Anthropic
 $0.050625 ↑ 328.6% more
#41 Claude Mythos 5.1
Anthropic
 $0.050625 ↑ 328.6% more
#42 Claude Fable 5
Anthropic
 $0.052500 (rounded ~ $0.05) ↑ 344.4% more
#43 Claude Mythos 5
Anthropic
 $0.052500 (rounded ~ $0.05) ↑ 344.4% more
#44 GPT-6 Astra
OpenAI
 $0.052500 (rounded ~ $0.05) ↑ 344.4% more
#45 o3 Pro
OpenAI
 $0.095000 (rounded ~ $0.10) ↑ 704.2% more
#46 GPT-5.2 Pro
OpenAI
 $0.141750 (rounded ~ $0.14) ↑ 1100% more
#47 GPT-5.2 Pro
OpenAI
 $0.141750 (rounded ~ $0.14) ↑ 1100% more
🏆

Mistral Small 3
Mistral AI

$0.000425
vs GPT-5.3 Codex Spark: ↓ 96.4%
🥈

Grok Code Fast 1
xAI

$0.001300
vs GPT-5.3 Codex Spark: ↓ 89%
🥉

Gemini 3.1 Flash Lite
Google

$0.001438
vs GPT-5.3 Codex Spark: ↓ 87.8%
#4

Gemini 3.5 Flash-Lite
Google

$0.002075
vs GPT-5.3 Codex Spark: ↓ 82.4%
#5

Gemini 2.5 Flash
Google

$0.002075
vs GPT-5.3 Codex Spark: ↓ 82.4%
#6

Mistral Large 3
Mistral AI

$0.002125
vs GPT-5.3 Codex Spark: ↓ 82%
#7

Gemini 3.1 Flash
Google

$0.002875
vs GPT-5.3 Codex Spark: ↓ 75.7%
#8

Kimi K2.5
Moonshot AI

$0.003255
vs GPT-5.3 Codex Spark: ↓ 72.4%
#9

Grok Build 0.1
xAI

$0.003750
vs GPT-5.3 Codex Spark: ↓ 68.3%
#10

Gemini 3.8 Flash
Google

$0.003938
vs GPT-5.3 Codex Spark: ↓ 66.7%
#11

GPT-5.4 mini
OpenAI

$0.004313
vs GPT-5.3 Codex Spark: ↓ 63.5%
#12

Grok 4.3
xAI

$0.004688
vs GPT-5.3 Codex Spark: ↓ 60.3%
#13

Grok 4.20 Beta
xAI

$0.004688
vs GPT-5.3 Codex Spark: ↓ 60.3%
#14

o4-mini Deep Research
OpenAI

$0.004750
vs GPT-5.3 Codex Spark: ↓ 59.8%
#15

Kimi K2.6
Moonshot AI

$0.004779
vs GPT-5.3 Codex Spark: ↓ 59.5%
#16

Kimi K2.7 Code
Moonshot AI

$0.004779
vs GPT-5.3 Codex Spark: ↓ 59.5%
#17

o4-mini
OpenAI

$0.005225 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 55.8%
#18

Claude Haiku 4.5
Anthropic

$0.005250 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 55.6%
#19

GPT-5.6 Luna
OpenAI

$0.005750 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 51.3%
#20

Gemini 3.6 Flash
Google

$0.007875 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 33.3%
#21

Gemini 2.5 Pro
Google

$0.008438 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28.6%
#22

Grok 4.6
xAI

$0.008500 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28%
#23

Grok 4.5
xAI

$0.008500 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28%
#24

Gemini 3.5 Flash
Google

$0.008625 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 27%
#25

Claude Sonnet 5
Anthropic

$0.010500
vs GPT-5.3 Codex Spark: ↓ 11.1%
#26

Gemini 3.1 Pro
Google

$0.011500 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 2.6%
#27

GPT-5.3 Instant
OpenAI

$0.011813 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: Same
#28

GPT-5.4
OpenAI

$0.014375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 21.7%
#29

GPT-5.4 Thinking
OpenAI

$0.014375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 21.7%
#30

GPT-5.6 Terra
OpenAI

$0.014375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↑ 21.7%
#31

Claude Sonnet 4.6
Anthropic

$0.015750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 33.3%
#32

Claude Opus 4.7
Anthropic

$0.026250 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 122.2%
#33

Claude Opus 5
Anthropic

$0.026250 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 122.2%
#34

Claude Opus 4.8
Anthropic

$0.026250 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 122.2%
#35

Claude Opus 4.6
Anthropic

$0.026250 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 122.2%
#36

GPT-5.5
OpenAI

$0.028750 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 143.4%
#37

GPT-5.5 Instant
OpenAI

$0.028750 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 143.4%
#38

GPT-5.6 Sol
OpenAI

$0.028750 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 143.4%
#39

o3 Deep Research
OpenAI

$0.047500 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 302.1%
#40

Claude Fable 5.1
Anthropic

$0.050625
vs GPT-5.3 Codex Spark: ↑ 328.6%
#41

Claude Mythos 5.1
Anthropic

$0.050625
vs GPT-5.3 Codex Spark: ↑ 328.6%
#42

Claude Fable 5
Anthropic

$0.052500 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 344.4%
#43

Claude Mythos 5
Anthropic

$0.052500 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 344.4%
#44

GPT-6 Astra
OpenAI

$0.052500 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 344.4%
#45

o3 Pro
OpenAI

$0.095000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↑ 704.2%
#46

GPT-5.2 Pro
OpenAI

$0.141750 (rounded ~ $0.14)
vs GPT-5.3 Codex Spark: ↑ 1100%
#47

GPT-5.2 Pro
OpenAI

$0.141750 (rounded ~ $0.14)
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.

As enterprise development teams transition from simple autocomplete tools to proactive coding agents, the efficiency of the underlying model for inline suggestions has become the primary driver of developer velocity. In 2026, the shift toward agentic IDE workflows means your model needs to do more than just complete a line; it needs to synthesize multi-file context, understand architectural dependencies, and refactor code without introducing regressions. GPT-5.3 Codex Spark is specifically tuned for these high-frequency, latency-critical IDE interactions. Unlike general-purpose models that may struggle with the rapid, repetitive nature of inline suggestions, this model is engineered to minimize time-to-first-token while maintaining the semantic depth required for 5K-token context windows. For teams managing 100M-token monthly volumes, the challenge is balancing model intelligence with the speed required to keep the developer in a flow state. GPT-5.3 Codex Spark excels in this role by providing a streamlined reasoning path that reduces the overhead often seen in larger, more complex frontier models. Its optimized architecture is particularly well-suited for organizations that need to balance the cost of high-volume inference with the necessity of maintaining elite-tier coding performance. When deploying at this scale, consider the model’s ability to handle function calling, which is increasingly essential for agentic tasks beyond mere text generation, such as updating documentation or triggering CI/CD pipelines directly from the editor. This balance of speed, capability, and enterprise-grade reliability makes it a top choice for teams standardizing their AI-assisted development infrastructure this year.

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.

Related model pricing

GPT-5.3 Codex Spark currently costs $1.75 / $14.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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