Enterprise 10-K Analysis: GPT-5.5 Pro for 200K-Token Documents

Complete Analysis: 202,000 tokens for GPT-5.5 Pro
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 Pro model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.590000 Total Cost
202,000 Total Tokens
10 minutes, 6.18 seconds Processing Time
333 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

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

$1.590000 Total Cost
$1.500000 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
202,000Total Tokens
$0.007871Cost per 1K
127,044Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10m 6s Processing Time
340 Tokens/Second
260ms Time to First Token
333 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

$1.590000
Total Cost
⚡ 50% 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) $1.590000 Input: $1.500000
Output: $0.090000
Optimized Cost $1.590000 Input: $1.500000
Output: $0.090000
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 200,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.500000
  • Output Cost: $0.090000
  • Total Cost: $1.590000
  • 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: 10 minutes, 6.18 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

High-fidelity structured data extraction from complex financial documents and compliance-heavy 10-K reports.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5 Pro
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.007625 (rounded ~ $0.01) Best Value ↓ 99.5% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.009500 ↓ 99.4% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.009500 ↓ 99.4% cheaper
#4 Mistral Large 3
Mistral AI
 $0.014500 (rounded ~ $0.01) ↓ 99.1% cheaper
#5 Gemini 3.8 Flash
Google
 $0.022500 (rounded ~ $0.02) ↓ 98.6% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.022875 (rounded ~ $0.02) ↓ 98.6% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.030000 ↓ 98.1% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.030500 ↓ 98.1% cheaper
#9 Gemini 3.6 Flash
Google
 $0.045000 (rounded ~ $0.05) ↓ 97.2% cheaper
#10 Gemini 3.5 Flash
Google
 $0.045750 (rounded ~ $0.05) ↓ 97.1% cheaper
#11 Claude Sonnet 5
Anthropic
 $0.060000 ↓ 96.2% cheaper
#12 Gemini 3.1 Flash
Google
 $0.061000 (rounded ~ $0.06) ↓ 96.2% cheaper
#13 GPT-5.6 Terra
OpenAI
 $0.076250 (rounded ~ $0.08) ↓ 95.2% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $0.090000 ↓ 94.3% cheaper
#15 Claude Opus 4.7
Anthropic
 $0.150000 ↓ 90.6% cheaper
#16 Claude Opus 5
Anthropic
 $0.150000 ↓ 90.6% cheaper
#17 Claude Opus 4.8
Anthropic
 $0.150000 ↓ 90.6% cheaper
#18 Claude Opus 4.6
Anthropic
 $0.150000 ↓ 90.6% cheaper
#19 GPT-5.4
OpenAI
 $0.152500 (rounded ~ $0.15) ↓ 90.4% cheaper
#20 GPT-5.4 Thinking
OpenAI
 $0.152500 (rounded ~ $0.15) ↓ 90.4% cheaper
#21 Gemini 2.5 Pro
Google
 $0.152500 (rounded ~ $0.15) ↓ 90.4% cheaper
#22 GPT-5.5 Instant
OpenAI
 $0.152500 (rounded ~ $0.15) ↓ 90.4% cheaper
#23 GPT-5.6 Sol
OpenAI
 $0.152500 (rounded ~ $0.15) ↓ 90.4% cheaper
#24 Grok 4.3
xAI
 $0.228000 (rounded ~ $0.23) ↓ 85.7% cheaper
#25 Grok 4.20 Beta
xAI
 $0.228000 (rounded ~ $0.23) ↓ 85.7% cheaper
#26 Gemini 3.1 Pro
Google
 $0.238000 (rounded ~ $0.24) ↓ 85% cheaper
#27 Claude Fable 5.1
Anthropic
 $0.281250 (rounded ~ $0.28) ↓ 82.3% cheaper
#28 Claude Mythos 5.1
Anthropic
 $0.281250 (rounded ~ $0.28) ↓ 82.3% cheaper
#29 Claude Fable 5
Anthropic
 $0.300000 ↓ 81.1% cheaper
#30 Claude Mythos 5
Anthropic
 $0.300000 ↓ 81.1% cheaper
#31 GPT-5.5
OpenAI
 $0.595000 (rounded ~ $0.60) ↓ 62.6% cheaper
#32 GPT-6 Astra
OpenAI
 $1.200000 ↓ 24.5% cheaper
#33 GPT-6 Astra
OpenAI
 $1.200000 ↓ 24.5% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.007625 (rounded ~ $0.01)
vs GPT-5.5 Pro: ↓ 99.5%
🥈

Gemini 3.5 Flash-Lite
Google

$0.009500
vs GPT-5.5 Pro: ↓ 99.4%
🥉

Gemini 2.5 Flash
Google

$0.009500
vs GPT-5.5 Pro: ↓ 99.4%
#4

Mistral Large 3
Mistral AI

$0.014500 (rounded ~ $0.01)
vs GPT-5.5 Pro: ↓ 99.1%
#5

Gemini 3.8 Flash
Google

$0.022500 (rounded ~ $0.02)
vs GPT-5.5 Pro: ↓ 98.6%
#6

GPT-5.4 mini
OpenAI

$0.022875 (rounded ~ $0.02)
vs GPT-5.5 Pro: ↓ 98.6%
#7

Claude Haiku 4.5
Anthropic

$0.030000
vs GPT-5.5 Pro: ↓ 98.1%
#8

GPT-5.6 Luna
OpenAI

$0.030500
vs GPT-5.5 Pro: ↓ 98.1%
#9

Gemini 3.6 Flash
Google

$0.045000 (rounded ~ $0.05)
vs GPT-5.5 Pro: ↓ 97.2%
#10

Gemini 3.5 Flash
Google

$0.045750 (rounded ~ $0.05)
vs GPT-5.5 Pro: ↓ 97.1%
#11

Claude Sonnet 5
Anthropic

$0.060000
vs GPT-5.5 Pro: ↓ 96.2%
#12

Gemini 3.1 Flash
Google

$0.061000 (rounded ~ $0.06)
vs GPT-5.5 Pro: ↓ 96.2%
#13

GPT-5.6 Terra
OpenAI

$0.076250 (rounded ~ $0.08)
vs GPT-5.5 Pro: ↓ 95.2%
#14

Claude Sonnet 4.6
Anthropic

$0.090000
vs GPT-5.5 Pro: ↓ 94.3%
#15

Claude Opus 4.7
Anthropic

$0.150000
vs GPT-5.5 Pro: ↓ 90.6%
#16

Claude Opus 5
Anthropic

$0.150000
vs GPT-5.5 Pro: ↓ 90.6%
#17

Claude Opus 4.8
Anthropic

$0.150000
vs GPT-5.5 Pro: ↓ 90.6%
#18

Claude Opus 4.6
Anthropic

$0.150000
vs GPT-5.5 Pro: ↓ 90.6%
#19

GPT-5.4
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.5 Pro: ↓ 90.4%
#20

GPT-5.4 Thinking
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.5 Pro: ↓ 90.4%
#21

Gemini 2.5 Pro
Google

$0.152500 (rounded ~ $0.15)
vs GPT-5.5 Pro: ↓ 90.4%
#22

GPT-5.5 Instant
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.5 Pro: ↓ 90.4%
#23

GPT-5.6 Sol
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.5 Pro: ↓ 90.4%
#24

Grok 4.3
xAI

$0.228000 (rounded ~ $0.23)
vs GPT-5.5 Pro: ↓ 85.7%
#25

Grok 4.20 Beta
xAI

$0.228000 (rounded ~ $0.23)
vs GPT-5.5 Pro: ↓ 85.7%
#26

Gemini 3.1 Pro
Google

$0.238000 (rounded ~ $0.24)
vs GPT-5.5 Pro: ↓ 85%
#27

Claude Fable 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs GPT-5.5 Pro: ↓ 82.3%
#28

Claude Mythos 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs GPT-5.5 Pro: ↓ 82.3%
#29

Claude Fable 5
Anthropic

$0.300000
vs GPT-5.5 Pro: ↓ 81.1%
#30

Claude Mythos 5
Anthropic

$0.300000
vs GPT-5.5 Pro: ↓ 81.1%
#31

GPT-5.5
OpenAI

$0.595000 (rounded ~ $0.60)
vs GPT-5.5 Pro: ↓ 62.6%
#32

GPT-6 Astra
OpenAI

$1.200000
vs GPT-5.5 Pro: ↓ 24.5%
#33

GPT-6 Astra
OpenAI

$1.200000
vs GPT-5.5 Pro: ↓ 24.5%
✨ 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 Financial Earnings Analysis with GPT-5.5 Pro

Financial teams are increasingly moving beyond manual document review, shifting toward automated 10-K filing extraction to manage the sheer volume of annual and quarterly reports. GPT-5.5 Pro has emerged as a specialized tool for this high-stakes environment, where accuracy in extracting structured data—such as revenue segments, risk factors, and debt maturity schedules—is critical. Unlike standard summarization models, this iteration of the GPT series is specifically tuned for dense, multi-page financial narratives, providing consistent extraction performance even when document structures vary significantly between filings.

For enterprise leads, the core value of GPT-5.5 Pro lies in its ability to handle long-form reasoning without losing track of detailed constraints. When you are processing hundreds of 10-K filings, maintaining a strict schema is essential for downstream analysis. The model’s enhanced instruction-following allows it to output data in precise JSON or tabular formats suitable for direct ingestion into SQL databases or internal BI dashboards.

While many models can summarize a report, few can maintain the rigor needed for compliance-grade extraction. If your workflow requires high-fidelity parsing of complex, 200K-token documents at enterprise scale, GPT-5.5 Pro offers the reliability and reasoning depth required to minimize human oversight, making it a robust choice for audit-heavy financial operations.

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 Pro currently costs $30.00 / $180.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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