GPT-5.5 Cost for 1 Million Tokens Input: Enterprise Support

Complete Analysis: 1,002,000 tokens for GPT-5.5
⚡ 70% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 model with 70% Cached.

⚡ Caching Optimized (up to 90% savings)
$3.790000 Total Cost
1,002,000 Total Tokens
42 minutes, 32.89 seconds Processing Time
393 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
OpenAIMax Context: 1,000,000 tokens
$5 / $30 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
70%
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

$3.790000 Total Cost
$3.000000 Input Cost
$0.090000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.003782Cost per 1K
264,380Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

42m 32s Processing Time
420 Tokens/Second
210ms Time to First Token
393 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 OpenAI 1000000 🏔️ Context Cliff

$3.790000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 70% Cached 🔧 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) $10.090000 Input: $10.000000
Output: $0.090000
Optimized Cost $3.790000 Input: $10.000000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Total Savings $6.300000 62.4% discount

Advanced Cost Breakdown (from Plugin)

🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $10.000000
  • Output Cost: $0.090000
  • Total Cost: $3.790000
  • Cost per 1K tokens: $0.003782
  • Tokens per dollar: 264,380 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 42 minutes, 32.89 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexhigh-stakes customer support scenarios requiring deep context retention and sophisticated reasoning over extensive conversation histories.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Cached Tokens: 70%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5
🏆 Grok 4.20 Beta
xAI
 $0.752000 (rounded ~ $0.75) Best Value ↓ 80.2% cheaper
🥈 Gemini 2.5 Pro
Google
 $0.955000 (rounded ~ $0.96) ↓ 74.8% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.516000 (rounded ~ $1.52) ↓ 60% cheaper
#4 GPT-5.4
OpenAI
 $1.895000 (rounded ~ $1.90) ↓ 50% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $1.895000 (rounded ~ $1.90) ↓ 50% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $1.895000 (rounded ~ $1.90) ↓ 50% cheaper
🏆

Grok 4.20 Beta
xAI

$0.752000 (rounded ~ $0.75)
vs GPT-5.5: ↓ 80.2%
🥈

Gemini 2.5 Pro
Google

$0.955000 (rounded ~ $0.96)
vs GPT-5.5: ↓ 74.8%
🥉

Gemini 3.1 Pro
Google

$1.516000 (rounded ~ $1.52)
vs GPT-5.5: ↓ 60%
#4

GPT-5.4
OpenAI

$1.895000 (rounded ~ $1.90)
vs GPT-5.5: ↓ 50%
#5

GPT-5.4 Thinking
OpenAI

$1.895000 (rounded ~ $1.90)
vs GPT-5.5: ↓ 50%
#6

GPT-5.4 Thinking
OpenAI

$1.895000 (rounded ~ $1.90)
vs GPT-5.5: ↓ 50%
✨ 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.

Leveraging High-Context AI for Advanced Support

For SaaS products dealing with complex, multi-turn customer support scenarios, a model with a substantial context window is invaluable. GPT-5.5, with its 1,000,000 token context, excels in these situations, allowing for extensive conversation history to be processed in a single API call.

This capability is crucial for sophisticated support needs, such as diagnosing intricate technical issues, providing detailed product guidance, or handling sensitive customer inquiries that require referencing a long dialogue history. By processing more information at once, GPT-5.5 can maintain a deeper understanding of the user’s intent and provide more accurate, contextually relevant responses.

While models with smaller context windows are often more budget-friendly for simple queries, the total cost of ownership for complex, high-stakes support can be lower with a high-context model due to fewer API calls and reduced latency from needing to re-feed conversation history. For solo founders looking to offer premium, intelligent support, investing in a model like GPT-5.5 can elevate the customer experience and solve more complex problems efficiently.

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.