GPT-5.5 Cost for 5M Tokens Monthly: Enterprise Document Summarization

Complete Analysis: 501,500 tokens for GPT-5.5
⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 model with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.858750 (rounded ~ $1.86) Total Cost
501,500 Total Tokens
20 minutes, 18.11 seconds Processing Time
412 Effective Tokens/Sec

Click Recalculate to update after making changes

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)
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

$1.858750 Total Cost
$1.750000 Input Cost
$0.033750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
501,500Total Tokens
$0.003706Cost per 1K
269,805Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

20m 18s Processing Time
420 Tokens/Second
210ms Time to First Token
412 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

$1.858750 (rounded ~ $1.86)
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) $2.533750 (rounded ~ $2.53) Input: $2.500000
Output: $0.033750 (rounded ~ $0.03)
Optimized Cost $1.858750 (rounded ~ $1.86) Input: $2.500000
Output: $0.033750 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.675000 (rounded ~ $0.68) 26.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,500 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.033750 (rounded ~ $0.03)
  • Total Cost: $1.858750 (rounded ~ $1.86)
  • Cost per 1K tokens: $0.003706
  • Tokens per dollar: 269,805 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: 20 minutes, 18.11 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 412 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for enterprise-grade summarization pipelines requiring strict instruction adherence and multi-step reasoning.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5
🏆 Gemini 3.1 Flash Lite
Google
 $0.023375 (rounded ~ $0.02) Best Value ↓ 98.7% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.028313 (rounded ~ $0.03) ↓ 98.5% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.028313 (rounded ~ $0.03) ↓ 98.5% cheaper
#4 Gemini 3.8 Flash
Google
 $0.069844 ↓ 96.2% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.093500 (rounded ~ $0.09) ↓ 95% cheaper
#6 Gemini 3.6 Flash
Google
 $0.139688 ↓ 92.5% cheaper
#7 Gemini 3.5 Flash
Google
 $0.140250 ↓ 92.5% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.186250 (rounded ~ $0.19) ↓ 90% cheaper
#9 Gemini 3.1 Flash
Google
 $0.187000 (rounded ~ $0.19) ↓ 89.9% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.233750 (rounded ~ $0.23) ↓ 87.4% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.279375 ↓ 85% cheaper
#12 Claude Opus 4.7
Anthropic
 $0.465625 (rounded ~ $0.47) ↓ 74.9% cheaper
#13 Claude Opus 5
Anthropic
 $0.465625 (rounded ~ $0.47) ↓ 74.9% cheaper
#14 Claude Opus 4.8
Anthropic
 $0.465625 (rounded ~ $0.47) ↓ 74.9% cheaper
#15 Claude Opus 4.6
Anthropic
 $0.465625 (rounded ~ $0.47) ↓ 74.9% cheaper
#16 Gemini 2.5 Pro
Google
 $0.467500 (rounded ~ $0.47) ↓ 74.8% cheaper
#17 GPT-5.6 Sol
OpenAI
 $0.467500 (rounded ~ $0.47) ↓ 74.8% cheaper
#18 Grok 4.3
xAI
 $0.736000 (rounded ~ $0.74) ↓ 60.4% cheaper
#19 Grok 4.20 Beta
xAI
 $0.736000 (rounded ~ $0.74) ↓ 60.4% cheaper
#20 Gemini 3.1 Pro
Google
 $0.743500 (rounded ~ $0.74) ↓ 60% cheaper
#21 Claude Fable 5.1
Anthropic
 $0.903125 (rounded ~ $0.90) ↓ 51.4% cheaper
#22 Claude Mythos 5.1
Anthropic
 $0.903125 (rounded ~ $0.90) ↓ 51.4% cheaper
#23 GPT-5.4
OpenAI
 $0.929375 ↓ 50% cheaper
#24 GPT-5.4 Thinking
OpenAI
 $0.929375 ↓ 50% cheaper
#25 Claude Fable 5
Anthropic
 $0.931250 (rounded ~ $0.93) ↓ 49.9% cheaper
#26 Claude Mythos 5
Anthropic
 $0.931250 (rounded ~ $0.93) ↓ 49.9% cheaper
#27 GPT-6 Astra
OpenAI
 $3.725000 (rounded ~ $3.73) ↑ 100.4% more
#28 GPT-6 Astra
OpenAI
 $3.725000 (rounded ~ $3.73) ↑ 100.4% more
🏆

Gemini 3.1 Flash Lite
Google

$0.023375 (rounded ~ $0.02)
vs GPT-5.5: ↓ 98.7%
🥈

Gemini 3.5 Flash-Lite
Google

$0.028313 (rounded ~ $0.03)
vs GPT-5.5: ↓ 98.5%
🥉

Gemini 2.5 Flash
Google

$0.028313 (rounded ~ $0.03)
vs GPT-5.5: ↓ 98.5%
#4

Gemini 3.8 Flash
Google

$0.069844
vs GPT-5.5: ↓ 96.2%
#5

GPT-5.6 Luna
OpenAI

$0.093500 (rounded ~ $0.09)
vs GPT-5.5: ↓ 95%
#6

Gemini 3.6 Flash
Google

$0.139688
vs GPT-5.5: ↓ 92.5%
#7

Gemini 3.5 Flash
Google

$0.140250
vs GPT-5.5: ↓ 92.5%
#8

Claude Sonnet 5
Anthropic

$0.186250 (rounded ~ $0.19)
vs GPT-5.5: ↓ 90%
#9

Gemini 3.1 Flash
Google

$0.187000 (rounded ~ $0.19)
vs GPT-5.5: ↓ 89.9%
#10

GPT-5.6 Terra
OpenAI

$0.233750 (rounded ~ $0.23)
vs GPT-5.5: ↓ 87.4%
#11

Claude Sonnet 4.6
Anthropic

$0.279375
vs GPT-5.5: ↓ 85%
#12

Claude Opus 4.7
Anthropic

$0.465625 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.9%
#13

Claude Opus 5
Anthropic

$0.465625 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.9%
#14

Claude Opus 4.8
Anthropic

$0.465625 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.9%
#15

Claude Opus 4.6
Anthropic

$0.465625 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.9%
#16

Gemini 2.5 Pro
Google

$0.467500 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.8%
#17

GPT-5.6 Sol
OpenAI

$0.467500 (rounded ~ $0.47)
vs GPT-5.5: ↓ 74.8%
#18

Grok 4.3
xAI

$0.736000 (rounded ~ $0.74)
vs GPT-5.5: ↓ 60.4%
#19

Grok 4.20 Beta
xAI

$0.736000 (rounded ~ $0.74)
vs GPT-5.5: ↓ 60.4%
#20

Gemini 3.1 Pro
Google

$0.743500 (rounded ~ $0.74)
vs GPT-5.5: ↓ 60%
#21

Claude Fable 5.1
Anthropic

$0.903125 (rounded ~ $0.90)
vs GPT-5.5: ↓ 51.4%
#22

Claude Mythos 5.1
Anthropic

$0.903125 (rounded ~ $0.90)
vs GPT-5.5: ↓ 51.4%
#23

GPT-5.4
OpenAI

$0.929375
vs GPT-5.5: ↓ 50%
#24

GPT-5.4 Thinking
OpenAI

$0.929375
vs GPT-5.5: ↓ 50%
#25

Claude Fable 5
Anthropic

$0.931250 (rounded ~ $0.93)
vs GPT-5.5: ↓ 49.9%
#26

Claude Mythos 5
Anthropic

$0.931250 (rounded ~ $0.93)
vs GPT-5.5: ↓ 49.9%
#27

GPT-6 Astra
OpenAI

$3.725000 (rounded ~ $3.73)
vs GPT-5.5: ↑ 100.4%
#28

GPT-6 Astra
OpenAI

$3.725000 (rounded ~ $3.73)
vs GPT-5.5: ↑ 100.4%
✨ 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.

Scaling Summarization with Agentic Workflows

For translation and document processing teams, scaling to 5M tokens per month requires more than just raw processing power—it requires reliable, agentic behavior. GPT-5.5 introduces significant improvements in how models manage long-running tasks, making it an excellent candidate for complex summarization pipelines that require multi-step reasoning.

Unlike previous generation models that might lose the thread or ignore system constraints during long-context tasks, GPT-5.5 is designed to maintain instruction persistence across the entire document. This makes it particularly effective for summarization workflows that require strict formatting or specific metadata extraction alongside the core summary. When you feed a 500-page PDF into this model, the agentic architecture effectively manages the flow of information, ensuring that specific, granular details are preserved in the final output.

For agencies building proprietary summarization tools, GPT-5.5 offers a level of stability that reduces the need for constant human QA. It acts more like a junior researcher than a basic text processor, which is a major advantage if your summarization features require high-level synthesis rather than simple extraction. While it may require a higher investment in token budget, the reduction in re-work and manual verification often balances the equation for high-stakes enterprise projects.

When planning your 5M-token monthly budget, consider the model’s ability to handle tool-use and complex orchestration. If your summarization pipeline requires fetching external data or cross-referencing information across multiple documents, GPT-5.5 provides a robust, reliable path forward that minimizes operational friction.

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.

Related model pricing

GPT-5.5 currently costs $5.00 / $30.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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