GPT-5.5 Pro Cost for 1M Tokens Monthly: Financial Analysis

Complete Analysis: 1,010,000 tokens for GPT-5.5 Pro
⚡ 10% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 Pro model with 10% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$7.950000 Total Cost
1,010,000 Total Tokens
50 minutes, 59.89 seconds Processing Time
330 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.5 Pro
OpenAIMax Context: 1,000,000 tokens
$30 / $180 per 1M tokens
▼
▼
Use Batch API (50% discount)
10%
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

$7.950000 Total Cost
$7.500000 Input Cost
$0.450000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,010,000Total Tokens
$0.007871Cost per 1K
127,044Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

50m 59s Processing Time
340 Tokens/Second
260ms Time to First Token
330 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-5.5 Pro OpenAI 1000000

$7.950000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 10% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $7.950000 Input: $7.500000
Output: $0.450000
Optimized Cost $7.950000 Input: $7.500000
Output: $0.450000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 10,000 output tokens:

  • Input Cost: $7.500000
  • Output Cost: $0.450000
  • Total Cost: $7.950000
  • Cost per 1K tokens: $0.007871 (rounded ~ $0.01)
  • Tokens per dollar: 127,044 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

  • Processing Time: 50 minutes, 59.89 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 330 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for detailed financial analysis requiring large context understanding and advanced reasoningsuch as parsing extensive reports or gathering market intelligence.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5 Pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Cached Tokens: 10%
Rank AI Model & Provider Total Cost vs GPT-5.5 Pro
🏆 Grok 4.20 Beta
xAI
 $0.470000 Best Value ↓ 94.1% cheaper
🥈 Gemini 2.5 Pro
Google
 $1.212500 (rounded ~ $1.21) ↓ 84.7% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.910000 ↓ 76% cheaper
#4 GPT-5.4
OpenAI
 $2.387500 (rounded ~ $2.39) ↓ 70% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $2.387500 (rounded ~ $2.39) ↓ 70% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $2.387500 (rounded ~ $2.39) ↓ 70% cheaper
🏆

Grok 4.20 Beta
xAI

$0.470000
vs GPT-5.5 Pro: ↓ 94.1%
🥈

Gemini 2.5 Pro
Google

$1.212500 (rounded ~ $1.21)
vs GPT-5.5 Pro: ↓ 84.7%
🥉

Gemini 3.1 Pro
Google

$1.910000
vs GPT-5.5 Pro: ↓ 76%
#4

GPT-5.4
OpenAI

$2.387500 (rounded ~ $2.39)
vs GPT-5.5 Pro: ↓ 70%
#5

GPT-5.4 Thinking
OpenAI

$2.387500 (rounded ~ $2.39)
vs GPT-5.5 Pro: ↓ 70%
#6

GPT-5.4 Thinking
OpenAI

$2.387500 (rounded ~ $2.39)
vs GPT-5.5 Pro: ↓ 70%
✨ 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.

Cost-Effective Financial Analysis with GPT-5.5 Pro: 1M Tokens Monthly

For YouTube creators and financial analysts aiming to process significant volumes of financial data monthly, understanding AI model costs is essential. This record examines OpenAI’s GPT-5.5 Pro for a monthly usage of 1 million tokens, focusing on its utility for financial analysis tasks like parsing 10-K filings.

Model Strengths: GPT-5.5 Pro, with its 1 million token context window, is adept at handling large financial documents. It offers advanced reasoning capabilities crucial for understanding complex financial narratives, extracting key figures, and identifying trends. Its ‘Pro’ tier is designed for demanding applications requiring high accuracy and sophisticated analytical output.

Pricing and Cost Example: GPT-5.5 Pro is priced at $30.00 per 1 million input tokens and $180.00 per 1 million output tokens [0]. For a monthly volume of 1 million input tokens, the cost would be approximately $30.00. If the analysis involves generating structured data or detailed summaries, the output token costs would also apply. For instance, generating 10,000 output tokens would add approximately $1.80.

When to Choose GPT-5.5 Pro: This model is ideal for financial analysis tasks that require a large context window and advanced reasoning, such as in-depth report analysis or competitive intelligence gathering. It offers a powerful solution for users needing high accuracy and detailed insights from financial data.

  • Model Name: GPT-5.5 Pro
  • Provider: OpenAI
  • Context Window: 1,000,000 tokens
  • Cost per 1M Input Tokens: $30.00
  • Cost per 1M Output Tokens: $180.00

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.