tokevenGPT · Flagship · 128K context window
GPT 5.5 pricing for pdf summarization
$0.1200 per call at 15,000 input / 1,500 output tokens.
Per call
$0.1200
10K calls/mo
$1,200
Cache savings
90% off input
Batch savings
50% off all
Calculate your GPT 5.5 costs
Adjust token counts, volume, and discount toggles to model your pdf summarization spend. Pricing updated weekly.
Configure your usage
Estimated cost
Quick start
Call GPT 5.5 with the OpenAI Python SDK:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-5.5",
max_tokens=1500,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.1200 per call at standard rates
# Input: $5.00/MTok
# Output: $30.00/MTokHow GPT 5.5 compares on cost
Per-call cost for all models scoring 50+ on pdf summarization benchmarks. Hover for details.
Cheapest viable option: Gemini 3 Flash at $0.0120/call (90% less, 83/100 quality).
Complete GPT 5.5 pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $5.00 | 15,000 |
| Output | $30.00 | 1,500 |
Prompt caching: 90% off input tokens
Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.0675 per call.
Batch API: 50% off all tokens
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
Monthly cost projections
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.1200 | $1,200 | $525 | $675 |
| 50,000 calls | $0.1200 | $6,000 | $2,625 | $3,375 |
| 100,000 calls | $0.1200 | $12,000 | $5,250 | $6,750 |
| 500,000 calls | $0.1200 | $60,000 | $26,250 | $33,750 |
| 1,000,000 calls | $0.1200 | $120,000 | $52,500 | $67,500 |
GPT 5.5 quality benchmarks for pdf summarization
GPT 5.5 is a solid pick for pdf summarization
Scores 89/100 (rank #3 of 14). Good balance of quality and cost for pdf summarization.
Top-ranked: GPT 5.6 Terra (92/100) at $0.0600/call
Performance across all task types
GPT 5.5 scores by task type. PDF Summarization highlighted.
| Task type | Confidence score | Rank out of 14 |
|---|---|---|
| Reasoning | 95/100 | #2 |
| Code Generation | 91/100 | #3 |
| Creative Writing | 91/100 | #2 |
| Code Review | 90/100 | #3 |
| Q&A | 90/100 | #2 |
| Summarization(current page) | 89/100 | #3 |
| Extraction | 87/100 | #4 |
| Classification | 85/100 | #3 |
Alternative models for pdf summarization
12 models score 80+ on pdf summarization benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (90% less, 83/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs GPT |
|---|---|---|---|---|---|---|
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.0120 | 90% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 82/100 | $0.0225 | 81% cheaper |
| GPT 5.6 Luna | GPT | $1.00 | $6.00 | 84/100 | $0.0240 | 80% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0360 | 70% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0450 | 63% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0480 | 60% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0600 | 50% cheaper |
| GPT 5.6 Terra | GPT | $2.50 | $15.00 | 92/100 | $0.0600 | 50% cheaper |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0675 | 44% cheaper |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.1125 | 6% cheaper |
| GPT 5.6 Sol | GPT | $5.00 | $30.00 | 90/100 | $0.1200 | same cost |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.2250 | 87% more |
About GPT 5.5
Provider
GPT
Tier
Flagship
Context
128K tokens
Released
Mar 2026
Other models from GPT
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| GPT 5.4 | Mid-tier | $2.50 | $15.00 | 128K |
| GPT 5.6 Sol | Flagship | $5.00 | $30.00 | 1,000K |
| GPT 5.6 Terra | Mid-tier | $2.50 | $15.00 | 1,000K |
| GPT 5.6 Luna | Fast / Budget | $1.00 | $6.00 | 1,000K |
You can compare GPT 5.5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.
GPT 5.5 pricing for other use cases
See how GPT 5.5 costs change across different workload types.
Code Generation
$0.1300/call
Unit Test Generation
$0.1650/call
SQL Generation
$0.0375/call
API Generation
$0.1950/call
Code Refactoring
$0.1400/call
Code Review
$0.0850/call
PR Review
$0.1300/call
Security Review
$0.1050/call
Bug Detection
$0.0850/call
Document Summarization
$0.0800/call
Meeting Notes
$0.1000/call
Email Summarization
$0.0300/call
Chatbot
$0.0400/call
RAG Pipeline
$0.0750/call
Customer Support Bot
$0.0450/call
FAQ Bot
$0.0315/call
Data Extraction
$0.0500/call
JSON Extraction
$0.0390/call
Invoice Parsing
$0.0280/call
Resume Parsing
$0.0365/call
Chain of Thought
$0.1650/call
Legal Analysis
$0.1700/call
Math Reasoning
$0.0975/call
Financial Analysis
$0.1600/call
Content Moderation
$0.005500/call
Sentiment Analysis
$0.005500/call
Categorization
$0.008500/call
Intent Detection
$0.004500/call
Copywriting
$0.0625/call
Blog Writing
$0.2450/call
Marketing Copy
$0.0940/call
Product Descriptions
$0.0475/call
Related pages
Frequently asked questions
How much does GPT 5.5 cost for pdf summarization per API call?
$0.1200 per call at 15,000 input / 1,500 output tokens.
Is GPT 5.5 the best model for pdf summarization?
Scores 89/100, rank #3 of 14 models. Top-ranked: GPT 5.6 Terra at 92/100.
What is the cheapest model for pdf summarization with good quality?
Gemini 3 Flash scores 83/100 quality at $0.50/$3.00 per MTok. That is 90% less than GPT 5.5 per call.
How can I reduce my GPT 5.5 costs for pdf summarization?
Three strategies: prompt caching (90% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.1200 drops to about $0.006000 per call.
How does GPT 5.5 pricing compare to other GPT models?
GPT also offers: GPT 5.4 at $2.50/$15.00, GPT 5.6 Sol at $5.00/$30.00, GPT 5.6 Terra at $2.50/$15.00, GPT 5.6 Luna at $1.00/$6.00.
What context window does GPT 5.5 support?
128K tokens total. Typical pdf summarization calls use 15,000 plus 1,500 tokens, well within limits.
Track what you spend on AI
This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.