GPT-5.5 Pro Cost for 500,000-Token Enterprise Translation Batches

Complete Analysis: 502,000 tokens for GPT-5.5 Pro
⚡ 80% Cached

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

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$3.840000 Total Cost
502,000 Total Tokens
25 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)
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

$3.840000 Total Cost
$3.750000 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
502,000Total Tokens
$0.007649Cost per 1K
130,729Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

25m 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

$3.840000
Total Cost
⚡ 80% 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) $3.840000 Input: $3.750000
Output: $0.090000
Optimized Cost $3.840000 Input: $3.750000
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 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $3.750000
  • Output Cost: $0.090000
  • Total Cost: $3.840000
  • Cost per 1K tokens: $0.007649 (rounded ~ $0.01)
  • Tokens per dollar: 130,729 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: 25 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

Ideal for high-accuracystyle-sensitive translation tasks requiring strict glossary adherence and complex instruction following.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.5 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.009500 Best Value ↓ 99.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.011750 (rounded ~ $0.01) ↓ 99.7% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.011750 (rounded ~ $0.01) ↓ 99.7% cheaper
#4 Gemini 3.8 Flash
Google
 $0.028125 (rounded ~ $0.03) ↓ 99.3% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.038000 (rounded ~ $0.04) ↓ 99% cheaper
#6 Gemini 3.6 Flash
Google
 $0.056250 (rounded ~ $0.06) ↓ 98.5% cheaper
#7 Gemini 3.5 Flash
Google
 $0.057000 (rounded ~ $0.06) ↓ 98.5% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.075000 (rounded ~ $0.08) ↓ 98% cheaper
#9 Gemini 3.1 Flash
Google
 $0.076000 (rounded ~ $0.08) ↓ 98% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.095000 (rounded ~ $0.10) ↓ 97.5% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.112500 (rounded ~ $0.11) ↓ 97.1% cheaper
#12 Claude Opus 4.7
Anthropic
 $0.187500 (rounded ~ $0.19) ↓ 95.1% cheaper
#13 Claude Opus 5
Anthropic
 $0.187500 (rounded ~ $0.19) ↓ 95.1% cheaper
#14 Claude Opus 4.8
Anthropic
 $0.187500 (rounded ~ $0.19) ↓ 95.1% cheaper
#15 Claude Opus 4.6
Anthropic
 $0.187500 (rounded ~ $0.19) ↓ 95.1% cheaper
#16 Gemini 2.5 Pro
Google
 $0.190000 ↓ 95.1% cheaper
#17 GPT-5.6 Sol
OpenAI
 $0.190000 ↓ 95.1% cheaper
#18 Grok 4.3
xAI
 $0.288000 (rounded ~ $0.29) ↓ 92.5% cheaper
#19 Grok 4.20 Beta
xAI
 $0.288000 (rounded ~ $0.29) ↓ 92.5% cheaper
#20 Gemini 3.1 Pro
Google
 $0.298000 (rounded ~ $0.30) ↓ 92.2% cheaper
#21 Claude Fable 5.1
Anthropic
 $0.300000 ↓ 92.2% cheaper
#22 Claude Mythos 5.1
Anthropic
 $0.300000 ↓ 92.2% cheaper
#23 GPT-5.4
OpenAI
 $0.372500 (rounded ~ $0.37) ↓ 90.3% cheaper
#24 GPT-5.4 Thinking
OpenAI
 $0.372500 (rounded ~ $0.37) ↓ 90.3% cheaper
#25 Claude Fable 5
Anthropic
 $0.375000 (rounded ~ $0.38) ↓ 90.2% cheaper
#26 Claude Mythos 5
Anthropic
 $0.375000 (rounded ~ $0.38) ↓ 90.2% cheaper
#27 GPT-5.5
OpenAI
 $0.745000 (rounded ~ $0.75) ↓ 80.6% cheaper
#28 GPT-6 Astra
OpenAI
 $1.500000 ↓ 60.9% cheaper
#29 GPT-6 Astra
OpenAI
 $1.500000 ↓ 60.9% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.009500
vs GPT-5.5 Pro: ↓ 99.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.011750 (rounded ~ $0.01)
vs GPT-5.5 Pro: ↓ 99.7%
🥉

Gemini 2.5 Flash
Google

$0.011750 (rounded ~ $0.01)
vs GPT-5.5 Pro: ↓ 99.7%
#4

Gemini 3.8 Flash
Google

$0.028125 (rounded ~ $0.03)
vs GPT-5.5 Pro: ↓ 99.3%
#5

GPT-5.6 Luna
OpenAI

$0.038000 (rounded ~ $0.04)
vs GPT-5.5 Pro: ↓ 99%
#6

Gemini 3.6 Flash
Google

$0.056250 (rounded ~ $0.06)
vs GPT-5.5 Pro: ↓ 98.5%
#7

Gemini 3.5 Flash
Google

$0.057000 (rounded ~ $0.06)
vs GPT-5.5 Pro: ↓ 98.5%
#8

Claude Sonnet 5
Anthropic

$0.075000 (rounded ~ $0.08)
vs GPT-5.5 Pro: ↓ 98%
#9

Gemini 3.1 Flash
Google

$0.076000 (rounded ~ $0.08)
vs GPT-5.5 Pro: ↓ 98%
#10

GPT-5.6 Terra
OpenAI

$0.095000 (rounded ~ $0.10)
vs GPT-5.5 Pro: ↓ 97.5%
#11

Claude Sonnet 4.6
Anthropic

$0.112500 (rounded ~ $0.11)
vs GPT-5.5 Pro: ↓ 97.1%
#12

Claude Opus 4.7
Anthropic

$0.187500 (rounded ~ $0.19)
vs GPT-5.5 Pro: ↓ 95.1%
#13

Claude Opus 5
Anthropic

$0.187500 (rounded ~ $0.19)
vs GPT-5.5 Pro: ↓ 95.1%
#14

Claude Opus 4.8
Anthropic

$0.187500 (rounded ~ $0.19)
vs GPT-5.5 Pro: ↓ 95.1%
#15

Claude Opus 4.6
Anthropic

$0.187500 (rounded ~ $0.19)
vs GPT-5.5 Pro: ↓ 95.1%
#16

Gemini 2.5 Pro
Google

$0.190000
vs GPT-5.5 Pro: ↓ 95.1%
#17

GPT-5.6 Sol
OpenAI

$0.190000
vs GPT-5.5 Pro: ↓ 95.1%
#18

Grok 4.3
xAI

$0.288000 (rounded ~ $0.29)
vs GPT-5.5 Pro: ↓ 92.5%
#19

Grok 4.20 Beta
xAI

$0.288000 (rounded ~ $0.29)
vs GPT-5.5 Pro: ↓ 92.5%
#20

Gemini 3.1 Pro
Google

$0.298000 (rounded ~ $0.30)
vs GPT-5.5 Pro: ↓ 92.2%
#21

Claude Fable 5.1
Anthropic

$0.300000
vs GPT-5.5 Pro: ↓ 92.2%
#22

Claude Mythos 5.1
Anthropic

$0.300000
vs GPT-5.5 Pro: ↓ 92.2%
#23

GPT-5.4
OpenAI

$0.372500 (rounded ~ $0.37)
vs GPT-5.5 Pro: ↓ 90.3%
#24

GPT-5.4 Thinking
OpenAI

$0.372500 (rounded ~ $0.37)
vs GPT-5.5 Pro: ↓ 90.3%
#25

Claude Fable 5
Anthropic

$0.375000 (rounded ~ $0.38)
vs GPT-5.5 Pro: ↓ 90.2%
#26

Claude Mythos 5
Anthropic

$0.375000 (rounded ~ $0.38)
vs GPT-5.5 Pro: ↓ 90.2%
#27

GPT-5.5
OpenAI

$0.745000 (rounded ~ $0.75)
vs GPT-5.5 Pro: ↓ 80.6%
#28

GPT-6 Astra
OpenAI

$1.500000
vs GPT-5.5 Pro: ↓ 60.9%
#29

GPT-6 Astra
OpenAI

$1.500000
vs GPT-5.5 Pro: ↓ 60.9%
✨ 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 Global Translation Pipelines

For indie game developers managing product catalogs in 12+ languages, the choice of language model hinges on linguistic nuance and instruction following. GPT-5.5 Pro is engineered for high-stakes, large-context tasks, making it a robust candidate for enterprise-scale translation pipelines where maintaining consistent terminology across thousands of SKUs is non-negotiable.

When processing 500,000 tokens per batch, the model’s ability to leverage reasoning capabilities ensures that cultural idioms and game-specific jargon are handled with higher accuracy than standard zero-shot translation. This depth is critical for consistency in creative assets like dialogue, quest descriptions, and item lore. However, developers must weigh the latency requirements of in-game generation against the model’s high-reasoning overhead. For latency-sensitive paths, consider if the depth provided here is required for every request or if it can be reserved for baseline catalog generation.

The system’s architecture supports complex instruction sets, meaning you can pass entire style guides, glossary definitions, and character backstories in the context window to ensure the output remains on-brand. For teams operating at this volume, the primary value lies in reducing the need for post-translation human review, shifting the workload from manual editing to intelligent automation. This model is best suited for teams prioritizing output quality and strict adherence to complex stylistic constraints in multi-language environments.

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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