Plain-text specification
Plain-text specification
GPT-5.6 Luna API
GPT-5.6 Luna is a large language model by OpenAI, available on the Venice API asopenai-gpt-56-luna. Requests are anonymized, so the provider never sees your identity.GPT-5.6 Luna is a fast, cost-efficient model in OpenAI’s GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.GPT-5.6 Luna API pricing
GPT-5.6 Luna specifications
How to use the GPT-5.6 Luna API
Send requests toPOST https://api.venice.ai/api/v1/responses with "model": "openai-gpt-56-luna" and your API key.GPT-5.6 Luna API FAQ
How much does the GPT-5.6 Luna API cost?
1.50 per 1M output tokens, with cached input at $0.025 per 1M. Prices are in USD and can be paid in DIEM at parity.What is the GPT-5.6 Luna model ID?
Useopenai-gpt-56-luna as the model parameter.Is the GPT-5.6 Luna API private?
GPT-5.6 Luna is anonymized: Venice forwards requests to the provider without your identity, but the provider may retain prompt data, so use a private model for sensitive work.What is the context window of GPT-5.6 Luna?
1M tokens of context, with up to 125K output tokens per response.What does GPT-5.6 Luna support?
GPT-5.6 Luna supports function calling, structured outputs, reasoning, image input, web search and prompt caching. Reasoning effort is adjustable withreasoning_effort: none, low, medium, high, xhigh and max (default high).Which endpoint does the GPT-5.6 Luna API use?
CallPOST /responses. /chat/completions is also supported. OpenAI reasoning models are designed around the Responses API: reasoning, tool calls and messages come back as typed output items. Venice’s /responses endpoint is in alpha.Related models
- GPT-6 Luna API: 0.63 output per 1M tokens
- MiniMax M3 Preview API: 1.20 output per 1M tokens
- Qwen 3.5 35B A3B API: 1.25 output per 1M tokens
- DeepSeek V4.1 Flash API: 1.50 output per 1M tokens
- MiniMax M2.7 API: 1.50 output per 1M tokens