GPT-5.3 Codex Spark: 10,000 Token Coding Suggestions at 50M Monthly Volume

Complete Analysis: 10,500 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)
$0.016625 (rounded ~ $0.02) Total Cost
10,500 Total Tokens
10.89 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

$0.016625 Total Cost
$0.008750 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
10,500Total Tokens
$0.001583Cost per 1K
631,579Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10.89s 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

$0.016625 (rounded ~ $0.02)
Total Cost
⚡ 50% Cached
👁️
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) $0.024500 (rounded ~ $0.02) Input: $0.017500 (rounded ~ $0.02)
Output: $0.007000 (rounded ~ $0.01)
Optimized Cost $0.016625 (rounded ~ $0.02) Input: $0.017500 (rounded ~ $0.02)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.007875 (rounded ~ $0.01) 32.1% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.017500 (rounded ~ $0.02)
  • Output Cost: $0.007000 (rounded ~ $0.01)
  • Total Cost: $0.016625 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.001583
  • Tokens per dollar: 631,579 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: 10.89 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 real-time inline coding assistancequick refactoringand high-frequency autocomplete where low latency is the primary requirement.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark
🏆 DeepSeek V4 Flash
DeepSeek
 $0.000525 Best Value ↓ 96.8% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000700 ↓ 95.8% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000700 ↓ 95.8% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000700 ↓ 95.8% cheaper
#5 Ministral 3 (14B)
Mistral AI
 $0.001200 ↓ 92.8% cheaper
#6 Grok Code Fast 1
xAI
 $0.001850 ↓ 88.9% cheaper
#7 Nemotron 3 Super
Mistral AI
 $0.002060 ↓ 87.6% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.002125 ↓ 87.2% cheaper
#9 Devstral 2
Mistral AI
 $0.002650 ↓ 84.1% cheaper
#10 DeepSeek V4 Pro
DeepSeek
 $0.002828 ↓ 83% cheaper
#11 Gemini 2.5 Flash
Google
 $0.002900 ↓ 82.6% cheaper
#12 Mistral Large 3
Mistral AI
 $0.003500 ↓ 78.9% cheaper
#13 Gemini 3.1 Flash
Google
 $0.004250 ↓ 74.4% cheaper
#14 Kimi K2.5
Moonshot AI
 $0.005010 (rounded ~ $0.01) ↓ 69.9% cheaper
#15 GPT-5.4 mini
OpenAI
 $0.006375 (rounded ~ $0.01) ↓ 61.7% cheaper
#16 o4-mini Deep Research
OpenAI
 $0.007500 (rounded ~ $0.01) ↓ 54.9% cheaper
#17 Kimi K2.6
Moonshot AI
 $0.007558 (rounded ~ $0.01) ↓ 54.5% cheaper
#18 Claude Haiku 4.5
Anthropic
 $0.008000 (rounded ~ $0.01) ↓ 51.9% cheaper
#19 Grok 4.3
xAI
 $0.008125 (rounded ~ $0.01) ↓ 51.1% cheaper
#20 o4-mini
OpenAI
 $0.008250 (rounded ~ $0.01) ↓ 50.4% cheaper
#21 Gemini 2.5 Pro
Google
 $0.011875 (rounded ~ $0.01) ↓ 28.6% cheaper
#22 Gemini 3.5 Flash
Google
 $0.012750 (rounded ~ $0.01) ↓ 23.3% cheaper
#23 Magistral Medium
Mistral AI
 $0.013500 (rounded ~ $0.01) ↓ 18.8% cheaper
#24 Grok 4.20 Beta
xAI
 $0.014000 (rounded ~ $0.01) ↓ 15.8% cheaper
#25 GPT-5.3 Instant
OpenAI
 $0.016625 (rounded ~ $0.02) Same price
#26 Gemini 3.1 Pro
Google
 $0.017000 (rounded ~ $0.02) ↑ 2.3% more
#27 GPT-5.4
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 27.8% more
#28 GPT-5.4 Thinking
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 27.8% more
#29 Claude Sonnet 4.6
Anthropic
 $0.024000 (rounded ~ $0.02) ↑ 44.4% more
#30 Claude Opus 4.7
Anthropic
 $0.040000 ↑ 140.6% more
#31 Claude Opus 4.8
Anthropic
 $0.040000 ↑ 140.6% more
#32 Claude Opus 4.6
Anthropic
 $0.040000 ↑ 140.6% more
#33 GPT-5.5
OpenAI
 $0.042500 (rounded ~ $0.04) ↑ 155.6% more
#34 GPT-5.5 Instant
OpenAI
 $0.042500 (rounded ~ $0.04) ↑ 155.6% more
#35 o3 Deep Research
OpenAI
 $0.075000 (rounded ~ $0.08) ↑ 351.1% more
#36 o3 Pro
OpenAI
 $0.150000 ↑ 802.3% more
#37 GPT-5.2 Pro
OpenAI
 $0.199500 ↑ 1100% more
#38 GPT-5.2 Pro
OpenAI
 $0.199500 ↑ 1100% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000525
vs GPT-5.3 Codex Spark: ↓ 96.8%
🥈

Mistral Small 3
Mistral AI

$0.000700
vs GPT-5.3 Codex Spark: ↓ 95.8%
🥉

Voxtral Small 24B
Mistral AI

$0.000700
vs GPT-5.3 Codex Spark: ↓ 95.8%
#4

Devstral Small 2
Mistral AI

$0.000700
vs GPT-5.3 Codex Spark: ↓ 95.8%
#5

Ministral 3 (14B)
Mistral AI

$0.001200
vs GPT-5.3 Codex Spark: ↓ 92.8%
#6

Grok Code Fast 1
xAI

$0.001850
vs GPT-5.3 Codex Spark: ↓ 88.9%
#7

Nemotron 3 Super
Mistral AI

$0.002060
vs GPT-5.3 Codex Spark: ↓ 87.6%
#8

Gemini 3.1 Flash Lite
Google

$0.002125
vs GPT-5.3 Codex Spark: ↓ 87.2%
#9

Devstral 2
Mistral AI

$0.002650
vs GPT-5.3 Codex Spark: ↓ 84.1%
#10

DeepSeek V4 Pro
DeepSeek

$0.002828
vs GPT-5.3 Codex Spark: ↓ 83%
#11

Gemini 2.5 Flash
Google

$0.002900
vs GPT-5.3 Codex Spark: ↓ 82.6%
#12

Mistral Large 3
Mistral AI

$0.003500
vs GPT-5.3 Codex Spark: ↓ 78.9%
#13

Gemini 3.1 Flash
Google

$0.004250
vs GPT-5.3 Codex Spark: ↓ 74.4%
#14

Kimi K2.5
Moonshot AI

$0.005010 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 69.9%
#15

GPT-5.4 mini
OpenAI

$0.006375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 61.7%
#16

o4-mini Deep Research
OpenAI

$0.007500 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 54.9%
#17

Kimi K2.6
Moonshot AI

$0.007558 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 54.5%
#18

Claude Haiku 4.5
Anthropic

$0.008000 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 51.9%
#19

Grok 4.3
xAI

$0.008125 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 51.1%
#20

o4-mini
OpenAI

$0.008250 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 50.4%
#21

Gemini 2.5 Pro
Google

$0.011875 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28.6%
#22

Gemini 3.5 Flash
Google

$0.012750 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 23.3%
#23

Magistral Medium
Mistral AI

$0.013500 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 18.8%
#24

Grok 4.20 Beta
xAI

$0.014000 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 15.8%
#25

GPT-5.3 Instant
OpenAI

$0.016625 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: Same
#26

Gemini 3.1 Pro
Google

$0.017000 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 2.3%
#27

GPT-5.4
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 27.8%
#28

GPT-5.4 Thinking
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 27.8%
#29

Claude Sonnet 4.6
Anthropic

$0.024000 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 44.4%
#30

Claude Opus 4.7
Anthropic

$0.040000
vs GPT-5.3 Codex Spark: ↑ 140.6%
#31

Claude Opus 4.8
Anthropic

$0.040000
vs GPT-5.3 Codex Spark: ↑ 140.6%
#32

Claude Opus 4.6
Anthropic

$0.040000
vs GPT-5.3 Codex Spark: ↑ 140.6%
#33

GPT-5.5
OpenAI

$0.042500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 155.6%
#34

GPT-5.5 Instant
OpenAI

$0.042500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 155.6%
#35

o3 Deep Research
OpenAI

$0.075000 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 351.1%
#36

o3 Pro
OpenAI

$0.150000
vs GPT-5.3 Codex Spark: ↑ 802.3%
#37

GPT-5.2 Pro
OpenAI

$0.199500
vs GPT-5.3 Codex Spark: ↑ 1100%
#38

GPT-5.2 Pro
OpenAI

$0.199500
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.

Optimizing for Real-Time Coding Loops

GPT-5.3 Codex Spark represents a paradigm shift for development environments prioritizing latency and developer flow state. Unlike general-purpose reasoning models that may introduce significant overhead, this architecture is specifically distilled for high-velocity, interactive code generation. It excels in tasks that require immediate feedback, such as inline completion, refactoring small code blocks, or generating unit tests on the fly.

For mid-market SaaS platforms managing substantial codebases, the ability to maintain momentum is critical. Codex Spark is engineered to provide near-instantaneous responses, allowing it to function less like a traditional chat interface and more like a responsive pair-programming engine. It is particularly effective for teams that utilize structured coding workflows where developers need to maintain context across multiple files without the friction of long wait times.

When to prioritize this model:

  • High-Frequency Iteration: Ideal for inline autocomplete and rapid prototyping where developer wait time must be minimized.
  • Targeted Edits: Best suited for incremental changes and small logical adjustments rather than large-scale architectural planning or complex, multi-step debugging.
  • Cerebras-Backed Efficiency: Leverages specialized low-latency hardware to maintain throughput, making it a reliable choice for teams that operate in tight feedback loops and require consistent, low-latency performance for daily feature development.

By delegating real-time tasks to this specialized model, engineering teams can ensure that their primary reasoning models remain focused on high-complexity challenges while maintaining high-speed productivity for standard implementation tasks.

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.