GPT-5.6 Luna Pricing & Token Economics
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
Normalized Token Pricing Matrix
Real-time input, completion, and cache rates normalized to $/1M tokens.
Cost for prompts, instructions, document retrieval, and system context sent into the model.
Cost for generated text, code, tool calls, and structured JSON responses returned by the model.
Massive 90% savings on repeated context, documents, and system instructions.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
GPT-5.6 Luna Monthly Bill Estimator
Estimated monthly costs across four standardized enterprise and developer workloads.
| Workload Scenario | Monthly Token Volume | Standard Bill | With Prompt Caching |
|---|---|---|---|
| Customer Support Chatbot 10M prompt tokens + 2.5M output tokens per month | 12.5M tokens (10M in / 2.5M out) | $5.00/mo | $3.74/mo -25% |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $9.60/mo | $5.82/mo -39% |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $30.00/mo | $22.44/mo -25% |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $60.00/mo | $44.88/mo -25% |
Need custom token inputs or prompt volumes?
Use our interactive multi-model token calculator to test exact prompt and completion sliders.
Architecture & Capabilities
Technical parameters, supported modalities, and optimal developer use cases.
🎯 Recommended Use Cases
High-throughput customer agents, document extraction at scale
Supported Modalities
📐 Context & Output Limits
- Maximum Context Window: 1,050,000 tokens (1.1M)
- Maximum Output Length: 128,000 tokens
- Speed / Latency Tier: Ultra Fast
- Official Provider: OpenAI
Frequently Asked Questions
Everything you need to know about GPT-5.6 Luna API pricing and token calculations.
How much does GPT-5.6 Luna cost per 1M tokens?
GPT-5.6 Luna charges $0.20 per 1M input tokens and $1.20 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $0.450/1M tokens.
Does GPT-5.6 Luna support prompt caching?
Yes. Cached prompt reads are billed at $0.0200 per 1M tokens, saving you up to 90% on repeated context, RAG documents, and system instructions.
What is GPT-5.6 Luna's maximum context window?
GPT-5.6 Luna supports up to 1,050,000 tokens (1.1M) in its context window, allowing you to ingest large files and multi-turn chat history with up to 128,000 tokens generated per response.
How does GPT-5.6 Luna compare to other models?
With a CostRatio rating of A, GPT-5.6 Luna provides competitive token economics for budget & fast tasks. Review the peer comparison table above to compare input and completion rates directly against alternative models.
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