tokevenGPT · Mid-tier · 1,000K context window
GPT 5.6 Terra pricing for rag pipeline
$0.0375 per call at 6,000 input / 1,500 output tokens.
Per call
$0.0375
10K calls/mo
$375
Cache savings
90% off input
Batch savings
50% off all
Calculate your GPT 5.6 Terra costs
Adjust token counts, volume, and discount toggles to model your rag pipeline spend. Pricing updated weekly.
Configure your usage
Estimated cost
Quick start
Call GPT 5.6 Terra with the OpenAI Python SDK:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-5.6-terra",
max_tokens=1500,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0375 per call at standard rates
# Input: $2.50/MTok
# Output: $15.00/MTokHow GPT 5.6 Terra compares on cost
Per-call cost for all models scoring 50+ on rag pipeline benchmarks. Hover for details.
Cheapest viable option: Gemini 3 Flash at $0.007500/call (80% less, 82/100 quality).
Complete GPT 5.6 Terra pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $2.50 | 6,000 |
| Output | $15.00 | 1,500 |
Prompt caching: 90% off input tokens
Caching drops input cost from $2.50 to $0.25/MTok. For repeated system prompts, that saves $0.0135 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 | $0.0375 | $375 | $240 | $135 |
| 50,000 calls | $0.0375 | $1,875 | $1,200 | $675 |
| 100,000 calls | $0.0375 | $3,750 | $2,400 | $1,350 |
| 500,000 calls | $0.0375 | $18,750 | $12,000 | $6,750 |
| 1,000,000 calls | $0.0375 | $37,500 | $24,000 | $13,500 |
GPT 5.6 Terra quality benchmarks for rag pipeline
Use GPT 5.6 Terra for rag pipeline
Scores 92/100 (rank #1 of 14). Strong pick for production rag pipeline workloads.
Performance across all task types
GPT 5.6 Terra scores by task type. RAG Pipeline highlighted.
| Task type | Confidence score | Rank out of 14 |
|---|---|---|
| Summarization | 92/100 | #1 |
| Q&A(current page) | 92/100 | #1 |
| Extraction | 90/100 | #1 |
| Classification | 89/100 | #1 |
| Code Generation | 86/100 | #4 |
| Code Review | 84/100 | #4 |
| Reasoning | 82/100 | #4 |
| Creative Writing | 80/100 | #5 |
Alternative models for rag pipeline
12 models score 80+ on rag pipeline benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (80% less, 82/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs GPT |
|---|---|---|---|---|---|---|
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 82/100 | $0.007500 | 80% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 86/100 | $0.0135 | 64% cheaper |
| GPT 5.6 Luna | GPT | $1.00 | $6.00 | 85/100 | $0.0150 | 60% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 84/100 | $0.0225 | 40% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 89/100 | $0.0270 | 28% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0300 | 20% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0375 | same cost |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 88/100 | $0.0405 | 8% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 85/100 | $0.0675 | 80% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 90/100 | $0.0750 | 100% more |
| GPT 5.6 Sol | GPT | $5.00 | $30.00 | 91/100 | $0.0750 | 100% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 88/100 | $0.1350 | 260% more |
About GPT 5.6 Terra
Provider
GPT
Tier
Mid-tier
Context
1,000K tokens
Released
Jul 2026
Other models from GPT
| 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 Sol | Flagship | $5.00 | $30.00 | 1,000K |
| GPT 5.6 Luna | Fast / Budget | $1.00 | $6.00 | 1,000K |
You can compare GPT 5.6 Terra 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 5.6 Terra pricing for other use cases
See how GPT 5.6 Terra costs change across different workload types.
Code Generation
$0.0650/call
Unit Test Generation
$0.0825/call
SQL Generation
$0.0187/call
API Generation
$0.0975/call
Code Refactoring
$0.0700/call
Code Review
$0.0425/call
PR Review
$0.0650/call
Security Review
$0.0525/call
Bug Detection
$0.0425/call
Document Summarization
$0.0400/call
PDF Summarization
$0.0600/call
Meeting Notes
$0.0500/call
Email Summarization
$0.0150/call
Chatbot
$0.0200/call
Customer Support Bot
$0.0225/call
FAQ Bot
$0.0158/call
Data Extraction
$0.0250/call
JSON Extraction
$0.0195/call
Invoice Parsing
$0.0140/call
Resume Parsing
$0.0183/call
Chain of Thought
$0.0825/call
Legal Analysis
$0.0850/call
Math Reasoning
$0.0488/call
Financial Analysis
$0.0800/call
Content Moderation
$0.002750/call
Sentiment Analysis
$0.002750/call
Categorization
$0.004250/call
Intent Detection
$0.002250/call
Copywriting
$0.0313/call
Blog Writing
$0.1225/call
Marketing Copy
$0.0470/call
Product Descriptions
$0.0238/call
Related pages
Frequently asked questions
How much does GPT 5.6 Terra cost for rag pipeline per API call?
$0.0375 per call at 6,000 input / 1,500 output tokens.
Is GPT 5.6 Terra the best model for rag pipeline?
Scores 92/100, rank #1 of 14 models. Top-ranked for this task across all three providers.
What is the cheapest model for rag pipeline with good quality?
Gemini 3 Flash scores 82/100 quality at $0.50/$3.00 per MTok. That is 80% less than GPT 5.6 Terra per call.
How can I reduce my GPT 5.6 Terra costs for rag pipeline?
Three strategies: prompt caching (90% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0375 drops to about $0.001875 per call.
How does GPT 5.6 Terra pricing compare to other GPT models?
GPT also offers: GPT 5.5 at $5.00/$30.00, GPT 5.4 at $2.50/$15.00, GPT 5.6 Sol at $5.00/$30.00, GPT 5.6 Luna at $1.00/$6.00.
What context window does GPT 5.6 Terra support?
1,000K tokens total. Typical rag pipeline calls use 6,000 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.