Code Auditing for Security: o4-mini Deep Research (Tier 2)

Complete Analysis: 120,000 tokens for o4-mini Deep Research
⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's o4-mini Deep Research model with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.038250 (rounded ~ $0.04) Total Cost
120,000 Total Tokens
14 minutes, 16.18 seconds Processing Time
140 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

o4-mini Deep Research
OpenAIMax Context: 128,000 tokens
$1 / $4 + citations research pricing
▼
▼
Use Batch API (50% discount)
30%
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

$0.038250 Total Cost
$0.017500 Input Cost
$0.020000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.000319Cost per 1K
3,137,255Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

14m 16s Processing Time
150 Tokens/Second
300ms Time to First Token
140 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

o4-mini Deep Research OpenAI

$0.038250 (rounded ~ $0.04)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 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) $0.045000 (rounded ~ $0.05) Input: $0.025000 (rounded ~ $0.03)
Output: $0.020000
Optimized Cost $0.038250 (rounded ~ $0.04) Input: $0.025000 (rounded ~ $0.03)
Output: $0.020000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006750 (rounded ~ $0.01) 15.0% 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: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.020000
  • Total Cost: $0.038250 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000319
  • Tokens per dollar: 3,137,255 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 150 tokens per second and 300ms time to first token:

  • Processing Time: 14 minutes, 16.18 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 150 tokens/second
  • Effective Throughput: 140 tokens/second (temperature-adjusted)

Best Use Cases

Autonomous vulnerability scanning in enterprise software.

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✨ Market Recommendations AI Model Registry

← Back to o4-mini Deep Research
📋 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 o4-mini Deep Research
🏆 Mistral Small 3
Mistral AI
 $0.003325 Best Value ↓ 91.3% cheaper
🥈 Grok Code Fast 1
xAI
 $0.011150 (rounded ~ $0.01) ↓ 70.8% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.012063 (rounded ~ $0.01) ↓ 68.5% cheaper
#4 Mistral Large 3
Mistral AI
 $0.016625 (rounded ~ $0.02) ↓ 56.5% cheaper
#5 Gemini 2.5 Flash
Google
 $0.017975 (rounded ~ $0.02) ↓ 53% cheaper
#6 Grok 4.3
xAI
 $0.035313 (rounded ~ $0.04) ↓ 7.7% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.036188 (rounded ~ $0.04) ↓ 5.4% cheaper
#8 o4-mini
OpenAI
 $0.042075 (rounded ~ $0.04) ↑ 10% more
#9 Claude Haiku 4.5
Anthropic
 $0.043250 (rounded ~ $0.04) ↑ 13.1% more
#10 Gemini 3.1 Flash
Google
 $0.048250 (rounded ~ $0.05) ↑ 26.1% more
#11 Grok 4.20 Beta
xAI
 $0.066500 (rounded ~ $0.07) ↑ 73.9% more
#12 Gemini 3.5 Flash
Google
 $0.072375 (rounded ~ $0.07) ↑ 89.2% more
#13 GPT-5.3 Codex Spark
OpenAI
 $0.101938 (rounded ~ $0.10) ↑ 166.5% more
#14 GPT-5.3 Instant
OpenAI
 $0.101938 (rounded ~ $0.10) ↑ 166.5% more
#15 Claude Sonnet 4.6
Anthropic
 $0.129750 ↑ 239.2% more
#16 Gemini 2.5 Pro
Google
 $0.145625 (rounded ~ $0.15) ↑ 280.7% more
#17 Gemini 3.1 Pro
Google
 $0.193000 (rounded ~ $0.19) ↑ 404.6% more
#18 Claude Opus 4.7
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 465.4% more
#19 Claude Opus 4.8
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 465.4% more
#20 Claude Opus 4.6
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 465.4% more
#21 GPT-5.4
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 530.7% more
#22 GPT-5.4 Thinking
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 530.7% more
#23 GPT-5.5 Instant
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 530.7% more
#24 o3 Deep Research
OpenAI
 $0.382500 (rounded ~ $0.38) ↑ 900% more
#25 GPT-5.5
OpenAI
 $0.482500 (rounded ~ $0.48) ↑ 1161.4% more
#26 o3 Pro
OpenAI
 $0.765000 (rounded ~ $0.77) ↑ 1900% more
#27 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ $1.22) ↑ 3098% more
#28 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ $1.22) ↑ 3098% more
🏆

Mistral Small 3
Mistral AI

$0.003325
vs o4-mini Deep Research: ↓ 91.3%
🥈

Grok Code Fast 1
xAI

$0.011150 (rounded ~ $0.01)
vs o4-mini Deep Research: ↓ 70.8%
🥉

Gemini 3.1 Flash Lite
Google

$0.012063 (rounded ~ $0.01)
vs o4-mini Deep Research: ↓ 68.5%
#4

Mistral Large 3
Mistral AI

$0.016625 (rounded ~ $0.02)
vs o4-mini Deep Research: ↓ 56.5%
#5

Gemini 2.5 Flash
Google

$0.017975 (rounded ~ $0.02)
vs o4-mini Deep Research: ↓ 53%
#6

Grok 4.3
xAI

$0.035313 (rounded ~ $0.04)
vs o4-mini Deep Research: ↓ 7.7%
#7

GPT-5.4 mini
OpenAI

$0.036188 (rounded ~ $0.04)
vs o4-mini Deep Research: ↓ 5.4%
#8

o4-mini
OpenAI

$0.042075 (rounded ~ $0.04)
vs o4-mini Deep Research: ↑ 10%
#9

Claude Haiku 4.5
Anthropic

$0.043250 (rounded ~ $0.04)
vs o4-mini Deep Research: ↑ 13.1%
#10

Gemini 3.1 Flash
Google

$0.048250 (rounded ~ $0.05)
vs o4-mini Deep Research: ↑ 26.1%
#11

Grok 4.20 Beta
xAI

$0.066500 (rounded ~ $0.07)
vs o4-mini Deep Research: ↑ 73.9%
#12

Gemini 3.5 Flash
Google

$0.072375 (rounded ~ $0.07)
vs o4-mini Deep Research: ↑ 89.2%
#13

GPT-5.3 Codex Spark
OpenAI

$0.101938 (rounded ~ $0.10)
vs o4-mini Deep Research: ↑ 166.5%
#14

GPT-5.3 Instant
OpenAI

$0.101938 (rounded ~ $0.10)
vs o4-mini Deep Research: ↑ 166.5%
#15

Claude Sonnet 4.6
Anthropic

$0.129750
vs o4-mini Deep Research: ↑ 239.2%
#16

Gemini 2.5 Pro
Google

$0.145625 (rounded ~ $0.15)
vs o4-mini Deep Research: ↑ 280.7%
#17

Gemini 3.1 Pro
Google

$0.193000 (rounded ~ $0.19)
vs o4-mini Deep Research: ↑ 404.6%
#18

Claude Opus 4.7
Anthropic

$0.216250 (rounded ~ $0.22)
vs o4-mini Deep Research: ↑ 465.4%
#19

Claude Opus 4.8
Anthropic

$0.216250 (rounded ~ $0.22)
vs o4-mini Deep Research: ↑ 465.4%
#20

Claude Opus 4.6
Anthropic

$0.216250 (rounded ~ $0.22)
vs o4-mini Deep Research: ↑ 465.4%
#21

GPT-5.4
OpenAI

$0.241250 (rounded ~ $0.24)
vs o4-mini Deep Research: ↑ 530.7%
#22

GPT-5.4 Thinking
OpenAI

$0.241250 (rounded ~ $0.24)
vs o4-mini Deep Research: ↑ 530.7%
#23

GPT-5.5 Instant
OpenAI

$0.241250 (rounded ~ $0.24)
vs o4-mini Deep Research: ↑ 530.7%
#24

o3 Deep Research
OpenAI

$0.382500 (rounded ~ $0.38)
vs o4-mini Deep Research: ↑ 900%
#25

GPT-5.5
OpenAI

$0.482500 (rounded ~ $0.48)
vs o4-mini Deep Research: ↑ 1161.4%
#26

o3 Pro
OpenAI

$0.765000 (rounded ~ $0.77)
vs o4-mini Deep Research: ↑ 1900%
#27

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ $1.22)
vs o4-mini Deep Research: ↑ 3098%
#28

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ $1.22)
vs o4-mini Deep Research: ↑ 3098%
✨ 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.

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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.