GPT-5.3 Codex Spark: Coding Assistant Cost for 100K Tokens Daily

Complete Analysis: 101,500 tokens for GPT-5.3 Codex Spark
⚡ 60% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.3 Codex Spark model with 60% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.101500 (rounded ~ $0.10) Total Cost
101,500 Total Tokens
1 minute, 43.71 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
60%
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

$0.101500 Total Cost
$0.070000 Input Cost
$0.021000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
101,500Total Tokens
$0.001000Cost per 1K
1,000,000Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

1m 43s 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

GPT-5.3 Codex Spark OpenAI

$0.101500 (rounded ~ $0.10)
Total Cost
⚡ 60% 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) $0.196000 (rounded ~ $0.20) Input: $0.175000 (rounded ~ $0.18)
Output: $0.021000 (rounded ~ $0.02)
Optimized Cost $0.101500 (rounded ~ $0.10) Input: $0.175000 (rounded ~ $0.18)
Output: $0.021000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.094500 (rounded ~ $0.09) 48.2% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.175000 (rounded ~ $0.18)
  • Output Cost: $0.021000 (rounded ~ $0.02)
  • Total Cost: $0.101500 (rounded ~ $0.10)
  • Cost per 1K tokens: $0.001000
  • Tokens per dollar: 1,000,000 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: 1 minute, 43.71 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for technical code reviewsI18n string validationand automated compliance checks where high precision and developer-centric output are required.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,500
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark
🏆 Claude Haiku 5.5
Anthropic
 $0.005350 (rounded ~ $0.01) Best Value ↓ 94.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.005350 (rounded ~ $0.01) ↓ 94.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.011000 (rounded ~ $0.01) ↓ 89.2% cheaper
#4 Grok Code Fast 1
xAI
 $0.011450 (rounded ~ $0.01) ↓ 88.7% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.013750 (rounded ~ $0.01) ↓ 86.5% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.017550 (rounded ~ $0.02) ↓ 82.7% cheaper
#7 Gemini 2.5 Flash
Google
 $0.017550 (rounded ~ $0.02) ↓ 82.7% cheaper
#8 Mistral Large 3
Mistral AI
 $0.025250 (rounded ~ $0.03) ↓ 75.1% cheaper
#9 Gemini 3.1 Flash
Google
 $0.027500 (rounded ~ $0.03) ↓ 72.9% cheaper
#10 Gemini 3.8 Flash
Google
 $0.040125 ↓ 60.5% cheaper
#11 Gemini 3.6 Flash
Google
 $0.040125 ↓ 60.5% cheaper
#12 GPT-5.4 mini
OpenAI
 $0.041250 (rounded ~ $0.04) ↓ 59.4% cheaper
#13 Grok Build 0.1
xAI
 $0.049000 ↓ 51.7% cheaper
#14 Claude Haiku 4.5
Anthropic
 $0.053500 (rounded ~ $0.05) ↓ 47.3% cheaper
#15 Grok 4.3
xAI
 $0.061250 (rounded ~ $0.06) ↓ 39.7% cheaper
#16 Grok 4.20 Beta
xAI
 $0.061250 (rounded ~ $0.06) ↓ 39.7% cheaper
#17 Mistral Large 4
Mistral AI
 $0.068830 (rounded ~ $0.07) ↓ 32.2% cheaper
#18 Gemini 2.5 Pro
Google
 $0.072500 (rounded ~ $0.07) ↓ 28.6% cheaper
#19 Grok 4.7
xAI
 $0.101000 (rounded ~ $0.10) ↓ 0.5% cheaper
#20 Grok 4.6
xAI
 $0.101000 (rounded ~ $0.10) ↓ 0.5% cheaper
#21 Grok 4.5
xAI
 $0.101000 (rounded ~ $0.10) ↓ 0.5% cheaper
#22 Claude Sonnet 5.5
Anthropic
 $0.101000 (rounded ~ $0.10) ↓ 0.5% cheaper
#23 GPT-5.3 Instant
OpenAI
 $0.101500 (rounded ~ $0.10) Same price
#24 Claude Sonnet 5
Anthropic
 $0.107000 (rounded ~ $0.11) ↑ 5.4% more
#25 Gemini 4 Argon
Google
 $0.107000 (rounded ~ $0.11) ↑ 5.4% more
#26 GPT-6.1 Sol
OpenAI
 $0.107000 (rounded ~ $0.11) ↑ 5.4% more
#27 GPT-6 Sol
OpenAI
 $0.107000 (rounded ~ $0.11) ↑ 5.4% more
#28 Gemini 3.1 Pro
Google
 $0.110000 ↑ 8.4% more
#29 GPT-5.6 Terra
OpenAI
 $0.110000 ↑ 8.4% more
#30 Kimi K3.1 Pro
Moonshot AI
 $0.115400 (rounded ~ $0.12) ↑ 13.7% more
#31 GPT-5.4
OpenAI
 $0.137500 (rounded ~ $0.14) ↑ 35.5% more
#32 GPT-5.4 Thinking
OpenAI
 $0.137500 (rounded ~ $0.14) ↑ 35.5% more
#33 Claude Sonnet 4.6
Anthropic
 $0.160500 ↑ 58.1% more
#34 Kimi K3
Moonshot AI
 $0.173100 (rounded ~ $0.17) ↑ 70.5% more
#35 Claude Opus 5.5
Anthropic
 $0.202000 (rounded ~ $0.20) ↑ 99% more
#36 GPT-5.6 Sol
OpenAI
 $0.214000 (rounded ~ $0.21) ↑ 110.8% more
#37 Claude Opus 4.7
Anthropic
 $0.267500 (rounded ~ $0.27) ↑ 163.5% more
#38 Claude Opus 5
Anthropic
 $0.267500 (rounded ~ $0.27) ↑ 163.5% more
#39 Claude Opus 4.8
Anthropic
 $0.267500 (rounded ~ $0.27) ↑ 163.5% more
#40 Claude Opus 4.6
Anthropic
 $0.267500 (rounded ~ $0.27) ↑ 163.5% more
#41 GPT-5.5
OpenAI
 $0.275000 (rounded ~ $0.28) ↑ 170.9% more
#42 GPT-5.5 Instant
OpenAI
 $0.275000 (rounded ~ $0.28) ↑ 170.9% more
#43 Muse Wonder 1.0
Meta AI
 $0.430000 ↑ 323.6% more
#44 Claude Fable 5.1
Anthropic
 $0.490000 ↑ 382.8% more
#45 Claude Mythos 5.1
Anthropic
 $0.490000 ↑ 382.8% more
#46 Claude Fable 5
Anthropic
 $0.535000 (rounded ~ $0.54) ↑ 427.1% more
#47 Claude Mythos 5
Anthropic
 $0.535000 (rounded ~ $0.54) ↑ 427.1% more
#48 GPT-6 Astra
OpenAI
 $0.535000 (rounded ~ $0.54) ↑ 427.1% more
#49 GPT-5.2 Pro
OpenAI
 $1.218000 (rounded ~ $1.22) ↑ 1100% more
#50 GPT-5.2 Pro
OpenAI
 $1.218000 (rounded ~ $1.22) ↑ 1100% more
🏆

Claude Haiku 5.5
Anthropic

$0.005350 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 94.7%
🥈

GPT-6 Luna
OpenAI

$0.005350 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 94.7%
🥉

GPT-5.6 Luna
OpenAI

$0.011000 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 89.2%
#4

Grok Code Fast 1
xAI

$0.011450 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 88.7%
#5

Gemini 3.1 Flash Lite
Google

$0.013750 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 86.5%
#6

Gemini 3.5 Flash-Lite
Google

$0.017550 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 82.7%
#7

Gemini 2.5 Flash
Google

$0.017550 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 82.7%
#8

Mistral Large 3
Mistral AI

$0.025250 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 75.1%
#9

Gemini 3.1 Flash
Google

$0.027500 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 72.9%
#10

Gemini 3.8 Flash
Google

$0.040125
vs GPT-5.3 Codex Spark: ↓ 60.5%
#11

Gemini 3.6 Flash
Google

$0.040125
vs GPT-5.3 Codex Spark: ↓ 60.5%
#12

GPT-5.4 mini
OpenAI

$0.041250 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↓ 59.4%
#13

Grok Build 0.1
xAI

$0.049000
vs GPT-5.3 Codex Spark: ↓ 51.7%
#14

Claude Haiku 4.5
Anthropic

$0.053500 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↓ 47.3%
#15

Grok 4.3
xAI

$0.061250 (rounded ~ $0.06)
vs GPT-5.3 Codex Spark: ↓ 39.7%
#16

Grok 4.20 Beta
xAI

$0.061250 (rounded ~ $0.06)
vs GPT-5.3 Codex Spark: ↓ 39.7%
#17

Mistral Large 4
Mistral AI

$0.068830 (rounded ~ $0.07)
vs GPT-5.3 Codex Spark: ↓ 32.2%
#18

Gemini 2.5 Pro
Google

$0.072500 (rounded ~ $0.07)
vs GPT-5.3 Codex Spark: ↓ 28.6%
#19

Grok 4.7
xAI

$0.101000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↓ 0.5%
#20

Grok 4.6
xAI

$0.101000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↓ 0.5%
#21

Grok 4.5
xAI

$0.101000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↓ 0.5%
#22

Claude Sonnet 5.5
Anthropic

$0.101000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↓ 0.5%
#23

GPT-5.3 Instant
OpenAI

$0.101500 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: Same
#24

Claude Sonnet 5
Anthropic

$0.107000 (rounded ~ $0.11)
vs GPT-5.3 Codex Spark: ↑ 5.4%
#25

Gemini 4 Argon
Google

$0.107000 (rounded ~ $0.11)
vs GPT-5.3 Codex Spark: ↑ 5.4%
#26

GPT-6.1 Sol
OpenAI

$0.107000 (rounded ~ $0.11)
vs GPT-5.3 Codex Spark: ↑ 5.4%
#27

GPT-6 Sol
OpenAI

$0.107000 (rounded ~ $0.11)
vs GPT-5.3 Codex Spark: ↑ 5.4%
#28

Gemini 3.1 Pro
Google

$0.110000
vs GPT-5.3 Codex Spark: ↑ 8.4%
#29

GPT-5.6 Terra
OpenAI

$0.110000
vs GPT-5.3 Codex Spark: ↑ 8.4%
#30

Kimi K3.1 Pro
Moonshot AI

$0.115400 (rounded ~ $0.12)
vs GPT-5.3 Codex Spark: ↑ 13.7%
#31

GPT-5.4
OpenAI

$0.137500 (rounded ~ $0.14)
vs GPT-5.3 Codex Spark: ↑ 35.5%
#32

GPT-5.4 Thinking
OpenAI

$0.137500 (rounded ~ $0.14)
vs GPT-5.3 Codex Spark: ↑ 35.5%
#33

Claude Sonnet 4.6
Anthropic

$0.160500
vs GPT-5.3 Codex Spark: ↑ 58.1%
#34

Kimi K3
Moonshot AI

$0.173100 (rounded ~ $0.17)
vs GPT-5.3 Codex Spark: ↑ 70.5%
#35

Claude Opus 5.5
Anthropic

$0.202000 (rounded ~ $0.20)
vs GPT-5.3 Codex Spark: ↑ 99%
#36

GPT-5.6 Sol
OpenAI

$0.214000 (rounded ~ $0.21)
vs GPT-5.3 Codex Spark: ↑ 110.8%
#37

Claude Opus 4.7
Anthropic

$0.267500 (rounded ~ $0.27)
vs GPT-5.3 Codex Spark: ↑ 163.5%
#38

Claude Opus 5
Anthropic

$0.267500 (rounded ~ $0.27)
vs GPT-5.3 Codex Spark: ↑ 163.5%
#39

Claude Opus 4.8
Anthropic

$0.267500 (rounded ~ $0.27)
vs GPT-5.3 Codex Spark: ↑ 163.5%
#40

Claude Opus 4.6
Anthropic

$0.267500 (rounded ~ $0.27)
vs GPT-5.3 Codex Spark: ↑ 163.5%
#41

GPT-5.5
OpenAI

$0.275000 (rounded ~ $0.28)
vs GPT-5.3 Codex Spark: ↑ 170.9%
#42

GPT-5.5 Instant
OpenAI

$0.275000 (rounded ~ $0.28)
vs GPT-5.3 Codex Spark: ↑ 170.9%
#43

Muse Wonder 1.0
Meta AI

$0.430000
vs GPT-5.3 Codex Spark: ↑ 323.6%
#44

Claude Fable 5.1
Anthropic

$0.490000
vs GPT-5.3 Codex Spark: ↑ 382.8%
#45

Claude Mythos 5.1
Anthropic

$0.490000
vs GPT-5.3 Codex Spark: ↑ 382.8%
#46

Claude Fable 5
Anthropic

$0.535000 (rounded ~ $0.54)
vs GPT-5.3 Codex Spark: ↑ 427.1%
#47

Claude Mythos 5
Anthropic

$0.535000 (rounded ~ $0.54)
vs GPT-5.3 Codex Spark: ↑ 427.1%
#48

GPT-6 Astra
OpenAI

$0.535000 (rounded ~ $0.54)
vs GPT-5.3 Codex Spark: ↑ 427.1%
#49

GPT-5.2 Pro
OpenAI

$1.218000 (rounded ~ $1.22)
vs GPT-5.3 Codex Spark: ↑ 1100%
#50

GPT-5.2 Pro
OpenAI

$1.218000 (rounded ~ $1.22)
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 developers and localization managers aiming to automate pull request reviews, the choice of model directly impacts how effectively the assistant handles specific coding tasks like string extraction, I18n key validation, and file-format compliance. GPT-5.3 Codex Spark is engineered specifically for these types of technical workflows. Unlike general-purpose models, it is tuned to prioritize code structure and syntax, making it highly effective at pinpointing exact lines of code that need adjustment or translation updates without needing excessive prompt engineering.

Codex Spark excels in environments where the AI acts as an integrated assistant rather than just a chatbot. It is particularly well-suited for repetitive, high-precision tasks such as scanning diffs for hardcoded strings that should be moved to translation files. Because it is optimized for developer tooling, its reasoning processes are often faster and more focused, reducing the overhead of explaining why a piece of code failed a standard check. For teams managing small-to-medium PRs—typically in the 50-200 KB range—Codex Spark offers a balance of precision and technical capability that is difficult for less-specialized models to match. It is a workhorse model for teams that need consistent, reliable feedback on every commit, ensuring that localization standards are maintained automatically throughout the development lifecycle without requiring a human to manually flag every deviation.

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.

Compare across providers

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