GPT · Flagship · 1,000K context window
$0.0800 per call at 10,000 input / 1,000 output tokens.
Per call
$0.0800
10K calls/mo
$800
Cache savings
90% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your document summarization spend. Pricing updated weekly.
Call GPT 5.6 Sol with the OpenAI Python SDK:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-5.6-sol",
max_tokens=1000,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0800 per call at standard rates
# Input: $5.00/MTok
# Output: $30.00/MTokPer-call cost for all models scoring 50+ on document summarization benchmarks. Hover for details.
Cheapest viable option: Gemini 3 Flash at $0.008000/call (90% less, 83/100 quality).
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $5.00 | 10,000 |
| Output | $30.00 | 1,000 |
Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.0450 per call.
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.0800 | $800 | $350 | $450 |
| 50,000 calls | $0.0800 | $4,000 | $1,750 | $2,250 |
| 100,000 calls | $0.0800 | $8,000 | $3,500 | $4,500 |
| 500,000 calls | $0.0800 | $40,000 | $17,500 | $22,500 |
| 1,000,000 calls | $0.0800 | $80,000 | $35,000 | $45,000 |
Use GPT 5.6 Sol for document summarization
Scores 90/100 (rank #2 of 14). Strong pick for production document summarization workloads.
Top-ranked: GPT 5.6 Terra (92/100) at $0.0400/call
GPT 5.6 Sol scores by task type. Document Summarization highlighted.
| Task type | Confidence score | Rank out of 14 |
|---|---|---|
| Reasoning | 96/100 | #1 |
| Code Generation | 94/100 | #1 |
| Code Review | 92/100 | #2 |
| Creative Writing | 92/100 | #2 |
| Q&A | 91/100 | #1 |
| Summarization(current page) | 90/100 | #2 |
| Extraction | 88/100 | #3 |
| Classification | 86/100 | #3 |
12 models score 80+ on document 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 | $0.008000 | 90% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 82/100 | $0.0150 | 81% cheaper |
| GPT 5.6 Luna | GPT | $1.00 | $6.00 | 84/100 | $0.0160 | 80% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0240 | 70% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0300 | 63% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0320 | 60% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0400 | 50% cheaper |
| GPT 5.6 Terra | GPT | $2.50 | $15.00 | 92/100 | $0.0400 | 50% cheaper |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0450 | 44% cheaper |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.0750 | 6% cheaper |
| GPT 5.5 | GPT | $5.00 | $30.00 | 89/100 | $0.0800 | same cost |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.1500 | 88% more |
Provider
GPT
Tier
Flagship
Context
1,000K tokens
Released
Jul 2026
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| GPT 5.5 | Flagship | $5.00 | $30.00 | 128K |
| GPT 5.4 | Mid-tier | $2.50 | $15.00 | 128K |
| 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 5.6 Sol 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.
See how GPT 5.6 Sol 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
PDF Summarization
$0.1200/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
$0.0800 per call at 10,000 input / 1,000 output tokens.
Scores 90/100, rank #2 of 14 models. Top-ranked: GPT 5.6 Terra at 92/100.
Gemini 3 Flash scores 83/100 quality at $0.50/$3.00 per MTok. That is 90% less than GPT 5.6 Sol per call.
Three strategies: prompt caching (90% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0800 drops to about $0.004000 per call.
GPT also offers: GPT 5.5 at $5.00/$30.00, GPT 5.4 at $2.50/$15.00, GPT 5.6 Terra at $2.50/$15.00, GPT 5.6 Luna at $1.00/$6.00.
1,000K tokens total. Typical document summarization calls use 10,000 plus 1,000 tokens, well within limits.
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.