GPT-5.3 Codex Spark OpenAI
$0.101938 (rounded ~ 0.10)
Total Cost
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)
$0.113750 (rounded ~ 0.11)
Input: $0.043750 (rounded ~ 0.04)
Output: $0.070000
Output: $0.070000
Optimized Cost
$0.101938 (rounded ~ 0.10)
Input: $0.043750 (rounded ~ 0.04)
Output: $0.070000
Unit: $0.000000
Fees: $0.000000
Output: $0.070000
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.011813 (rounded ~ 0.01)
10.4% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 20,000 output tokens:
- Input Cost: $0.043750 (rounded ~ 0.04)
- Output Cost: $0.070000
- Total Cost: $0.101938 (rounded ~ 0.10)
- Cost per 1K tokens: $0.000849
- Tokens per dollar: 1,177,192 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: 2 minutes, 8.00 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 1,000 tokens/second
- Effective Throughput: 935 tokens/second (temperature-adjusted)
Best Use Cases
Codebase-to-documentation synthesis for large repos.
✨ Market Recommendations AI Model Registry
← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens:
100,000
Output Tokens:
20,000
Batch API:
Enabled (50% discount)
Cached Tokens:
30%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs GPT-5.3 Codex Spark |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.003325 (rounded ~ 0.00) Best Value | ↓ 96.7% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.007650 (rounded ~ 0.01) | ↓ 92.5% cheaper |
| 🥉 |
o4-mini Deep Research
OpenAI
|
$0.038250 (rounded ~ 0.04) | ↓ 62.5% cheaper |
| #4 |
o4-mini
OpenAI
|
$0.042075 (rounded ~ 0.04) | ↓ 58.7% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.066500 (rounded ~ 0.07) | ↓ 34.8% cheaper |
| #6 |
Grok 5
xAI
|
$0.129750 | ↑ 27.3% more |
| #7 |
Gemini 3.1 Pro
Google
|
$0.193000 (rounded ~ 0.19) | ↑ 89.3% more |
| #8 |
GPT-5.4 Thinking
OpenAI
|
$0.241250 (rounded ~ 0.24) | ↑ 136.7% more |
| #9 |
Claude Sonnet 4.6
Anthropic
|
$0.257250 (rounded ~ 0.26) | ↑ 152.4% more |
| #10 |
o3 Deep Research
OpenAI
|
$0.382500 (rounded ~ 0.38) | ↑ 275.2% more |
| #11 |
Claude Opus 4.6
Anthropic
|
$0.428750 (rounded ~ 0.43) | ↑ 320.6% more |
| #12 |
o3 Pro
OpenAI
|
$0.765000 (rounded ~ 0.77) | ↑ 650.5% more |
| #13 |
GPT-5.2 Pro
OpenAI
|
$1.223250 (rounded ~ 1.22) | ↑ 1100% more |
| #14 |
GPT-5.2 Pro
OpenAI
|
$1.223250 (rounded ~ 1.22) | ↑ 1100% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.003325 (rounded ~ 0.00)
vs GPT-5.3 Codex Spark:
↓ 96.7%
🥈
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.007650 (rounded ~ 0.01)
vs GPT-5.3 Codex Spark:
↓ 92.5%
🥉
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.038250 (rounded ~ 0.04)
vs GPT-5.3 Codex Spark:
↓ 62.5%
#4
o4-mini
o4-mini OpenAI
$0.042075 (rounded ~ 0.04)
vs GPT-5.3 Codex Spark:
↓ 58.7%
#5
Mistral Large 3
Mistral Large 3 Mistral AI
$0.066500 (rounded ~ 0.07)
vs GPT-5.3 Codex Spark:
↓ 34.8%
#6
Grok 5
Grok 5 xAI
$0.129750
vs GPT-5.3 Codex Spark:
↑ 27.3%
#7
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.193000 (rounded ~ 0.19)
vs GPT-5.3 Codex Spark:
↑ 89.3%
#8
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.241250 (rounded ~ 0.24)
vs GPT-5.3 Codex Spark:
↑ 136.7%
#9
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.257250 (rounded ~ 0.26)
vs GPT-5.3 Codex Spark:
↑ 152.4%
#10
o3 Deep Research
o3 Deep Research OpenAI
$0.382500 (rounded ~ 0.38)
vs GPT-5.3 Codex Spark:
↑ 275.2%
#11
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.428750 (rounded ~ 0.43)
vs GPT-5.3 Codex Spark:
↑ 320.6%
#12
o3 Pro
o3 Pro OpenAI
$0.765000 (rounded ~ 0.77)
vs GPT-5.3 Codex Spark:
↑ 650.5%
#13
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$1.223250 (rounded ~ 1.22)
vs GPT-5.3 Codex Spark:
↑ 1100%
#14
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$1.223250 (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.
Codebase-to-documentation synthesis for large repos.
Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.
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.