1 Million Token API Cost: GPT-5.5 Pro

Complete Analysis: 2,000,000 tokens for GPT-5.5 Pro
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 Pro model with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$15.000000 Total Cost
2,000,000 Total Tokens
1 hour, 44 minutes, 54.30 seconds Processing Time
318 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)
40%
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

$15.000000 Input Cost
$0.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.007500Cost per 1K
133,333Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

104m 54s Processing Time
340 Tokens/Second
260ms Time to First Token
318 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

$15.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 40% 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
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $15.000000 Input: $15.000000
Output: $0.000000
Optimized Cost $15.000000 Input: $15.000000
Output: $0.000000
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 2,000,000 input tokens and 0 output tokens:

  • Input Cost: $15.000000
  • Output Cost: $0.000000
  • Total Cost: $15.000000
  • Cost per 1K tokens: $0.007500 (rounded ~ $0.01)
  • Tokens per dollar: 133,333 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: 1 hour, 44 minutes, 54.30 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Enterprise API BudgetingCost Forecasting

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5 Pro
📋 Active Input Parameters
Input Tokens: 2,000,000
Output Tokens: 0
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5 Pro
🏆 Grok 4.20 Beta
xAI
$0.640000 Best Value ↓ 95.7% cheaper
🥈 Gemini 2.5 Pro
Google
$1.600000 ↓ 89.3% cheaper
🥉 Gemini 2.5 Pro
Google
$1.600000 ↓ 89.3% cheaper
🏆

Grok 4.20 Beta
xAI

$0.640000
vs GPT-5.5 Pro: ↓ 95.7%
🥈

Gemini 2.5 Pro
Google

$1.600000
vs GPT-5.5 Pro: ↓ 89.3%
🥉

Gemini 2.5 Pro
Google

$1.600000
vs GPT-5.5 Pro: ↓ 89.3%
✨ 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.

2026 SOTA Cost-Performance Analysis

Detailed ROI and operational expense planning for ‘1 Million Token API Cost: GPT-5.5 Pro’. Based on the latest April 2026 frontier model pricing updates.

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.