Monthly Budget: Agentic Web Tasks with 100K Tokens Daily using GPT-5.5

Complete Analysis: 102,000 tokens for GPT-5.5
⚡ 80% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.5 model with 80% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.200000 Total Cost
102,000 Total Tokens
4 minutes, 10.32 seconds Processing Time
408 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)
80%
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

$0.200000 Total Cost
$0.100000 Input Cost
$0.060000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.001961Cost per 1K
510,000Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

4m 10s Processing Time
420 Tokens/Second
210ms Time to First Token
408 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

$0.200000
Total Cost
⚡ 80% 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) $0.560000 Input: $0.500000
Output: $0.060000
Optimized Cost $0.200000 Input: $0.500000
Output: $0.060000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.360000 64.3% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.060000
  • Total Cost: $0.200000
  • Cost per 1K tokens: $0.001961
  • Tokens per dollar: 510,000 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: 4 minutes, 10.32 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 408 tokens/second (temperature-adjusted)

Best Use Cases

Best for production-ready autonomous agents requiring native reasoning and high reliability in complex web environments.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5
🏆 Mistral Small 3
Mistral AI
 $0.003400 Best Value ↓ 98.3% cheaper
🥈 Grok Code Fast 1
xAI
 $0.008600 (rounded ~ $0.01) ↓ 95.7% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.010000 ↓ 95% cheaper
#4 Gemini 2.5 Flash
Google
 $0.013400 (rounded ~ $0.01) ↓ 93.3% cheaper
#5 Mistral Large 3
Mistral AI
 $0.017000 (rounded ~ $0.02) ↓ 91.5% cheaper
#6 Gemini 3.1 Flash
Google
 $0.020000 ↓ 90% cheaper
#7 Kimi K2.5
Moonshot AI
 $0.026160 (rounded ~ $0.03) ↓ 86.9% cheaper
#8 GPT-5.4 mini
OpenAI
 $0.030000 ↓ 85% cheaper
#9 o4-mini Deep Research
OpenAI
 $0.036000 (rounded ~ $0.04) ↓ 82% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.038000 (rounded ~ $0.04) ↓ 81% cheaper
#11 o4-mini
OpenAI
 $0.039600 ↓ 80.2% cheaper
#12 Kimi K2.6
Moonshot AI
 $0.039920 ↓ 80% cheaper
#13 Grok 4.3
xAI
 $0.040000 ↓ 80% cheaper
#14 Gemini 2.5 Pro
Google
 $0.055000 (rounded ~ $0.06) ↓ 72.5% cheaper
#15 Gemini 3.5 Flash
Google
 $0.060000 ↓ 70% cheaper
#16 Grok 4.20 Beta
xAI
 $0.068000 (rounded ~ $0.07) ↓ 66% cheaper
#17 GPT-5.3 Codex Spark
OpenAI
 $0.077000 (rounded ~ $0.08) ↓ 61.5% cheaper
#18 GPT-5.3 Instant
OpenAI
 $0.077000 (rounded ~ $0.08) ↓ 61.5% cheaper
#19 Gemini 3.1 Pro
Google
 $0.080000 ↓ 60% cheaper
#20 GPT-5.4
OpenAI
 $0.100000 ↓ 50% cheaper
#21 GPT-5.4 Thinking
OpenAI
 $0.100000 ↓ 50% cheaper
#22 Claude Sonnet 4.6
Anthropic
 $0.114000 (rounded ~ $0.11) ↓ 43% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.190000 ↓ 5% cheaper
#24 Claude Opus 4.8
Anthropic
 $0.190000 ↓ 5% cheaper
#25 Claude Opus 4.6
Anthropic
 $0.190000 ↓ 5% cheaper
#26 GPT-5.5 Instant
OpenAI
 $0.200000 Same price
#27 o3 Deep Research
OpenAI
 $0.360000 ↑ 80% more
#28 o3 Pro
OpenAI
 $0.720000 ↑ 260% more
#29 GPT-5.2 Pro
OpenAI
 $0.924000 (rounded ~ $0.92) ↑ 362% more
#30 GPT-5.2 Pro
OpenAI
 $0.924000 (rounded ~ $0.92) ↑ 362% more
🏆

Mistral Small 3
Mistral AI

$0.003400
vs GPT-5.5: ↓ 98.3%
🥈

Grok Code Fast 1
xAI

$0.008600 (rounded ~ $0.01)
vs GPT-5.5: ↓ 95.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.010000
vs GPT-5.5: ↓ 95%
#4

Gemini 2.5 Flash
Google

$0.013400 (rounded ~ $0.01)
vs GPT-5.5: ↓ 93.3%
#5

Mistral Large 3
Mistral AI

$0.017000 (rounded ~ $0.02)
vs GPT-5.5: ↓ 91.5%
#6

Gemini 3.1 Flash
Google

$0.020000
vs GPT-5.5: ↓ 90%
#7

Kimi K2.5
Moonshot AI

$0.026160 (rounded ~ $0.03)
vs GPT-5.5: ↓ 86.9%
#8

GPT-5.4 mini
OpenAI

$0.030000
vs GPT-5.5: ↓ 85%
#9

o4-mini Deep Research
OpenAI

$0.036000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 82%
#10

Claude Haiku 4.5
Anthropic

$0.038000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 81%
#11

o4-mini
OpenAI

$0.039600
vs GPT-5.5: ↓ 80.2%
#12

Kimi K2.6
Moonshot AI

$0.039920
vs GPT-5.5: ↓ 80%
#13

Grok 4.3
xAI

$0.040000
vs GPT-5.5: ↓ 80%
#14

Gemini 2.5 Pro
Google

$0.055000 (rounded ~ $0.06)
vs GPT-5.5: ↓ 72.5%
#15

Gemini 3.5 Flash
Google

$0.060000
vs GPT-5.5: ↓ 70%
#16

Grok 4.20 Beta
xAI

$0.068000 (rounded ~ $0.07)
vs GPT-5.5: ↓ 66%
#17

GPT-5.3 Codex Spark
OpenAI

$0.077000 (rounded ~ $0.08)
vs GPT-5.5: ↓ 61.5%
#18

GPT-5.3 Instant
OpenAI

$0.077000 (rounded ~ $0.08)
vs GPT-5.5: ↓ 61.5%
#19

Gemini 3.1 Pro
Google

$0.080000
vs GPT-5.5: ↓ 60%
#20

GPT-5.4
OpenAI

$0.100000
vs GPT-5.5: ↓ 50%
#21

GPT-5.4 Thinking
OpenAI

$0.100000
vs GPT-5.5: ↓ 50%
#22

Claude Sonnet 4.6
Anthropic

$0.114000 (rounded ~ $0.11)
vs GPT-5.5: ↓ 43%
#23

Claude Opus 4.7
Anthropic

$0.190000
vs GPT-5.5: ↓ 5%
#24

Claude Opus 4.8
Anthropic

$0.190000
vs GPT-5.5: ↓ 5%
#25

Claude Opus 4.6
Anthropic

$0.190000
vs GPT-5.5: ↓ 5%
#26

GPT-5.5 Instant
OpenAI

$0.200000
vs GPT-5.5: Same
#27

o3 Deep Research
OpenAI

$0.360000
vs GPT-5.5: ↑ 80%
#28

o3 Pro
OpenAI

$0.720000
vs GPT-5.5: ↑ 260%
#29

GPT-5.2 Pro
OpenAI

$0.924000 (rounded ~ $0.92)
vs GPT-5.5: ↑ 362%
#30

GPT-5.2 Pro
OpenAI

$0.924000 (rounded ~ $0.92)
vs GPT-5.5: ↑ 362%
✨ 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 Agentic Workflows

For independent developers and small startups, predicting the costs associated with autonomous browser agents can be challenging. When your agent performs 20-50 tool calls per session to navigate, click, and extract data, token consumption scales quickly. GPT-5.5 is designed to handle this workload with native ‘agent’ capabilities, making it a robust choice for production-grade automation that requires minimal intervention.

GPT-5.5 stands out in this category by reducing the need for elaborate prompt engineering. Because the model is natively optimized for agentic loops, it often requires fewer tokens per task to arrive at a correct action. This is particularly valuable when you are automating complex workflows that involve multi-page navigation or conditional logic based on real-time site updates.

While the performance benefits are clear, monitoring your token volume at a 100,000-token daily scale is vital for budget predictability. By utilizing the model’s advanced reasoning, you can effectively streamline the decision-making process, ensuring that your agent spends fewer tokens ‘thinking’ about the wrong path and more tokens executing the required tasks. For developers who require a ‘set it and forget it’ solution for web automation, the reliability of this model often justifies the investment, as it reduces the frequency of error-handling loops and re-runs.

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.