---
title: "GPT-6-Luna — LLM-TEST.com"
url: /models/gpt-6-luna/
canonical_url: https://llm-test.com/models/gpt-6-luna/
language: en
type: model
summary: "The small, cheap GPT-6 model for latency-sensitive and high-volume workloads. Keeps the generation's instruction following while shedding cost and context for speed."
last_updated: "2026-11-05"
---

# GPT-6-Luna

_OpenAI · Fast_

The small, cheap GPT-6 model for latency-sensitive and high-volume workloads. Keeps the generation's instruction following while shedding cost and context for speed.

## At a glance

- Released: Oct 1, 2026
- Provider: OpenAI
- Context window: 400,000 tokens
- Max output: 32,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: June 2026
- API model ID: `gpt-6-luna`
- License: Proprietary (API only)

## Pricing

- Standard: $0.10 input / $0.50 output per 1M tokens
- Batch: $0.05 input / $0.25 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0005 (standard)

## What's new vs GPT-5-Luna (December 2025)

- Higher throughput and lower latency
- Better quality per dollar than the prior small model
- Improved short-context reasoning
- Smaller context and output ceiling

## Best use cases

- **High-volume tasks** — Runs classification and routing cheaply at scale.
- **Quick chat** — Powers simple, latency-sensitive assistant flows.
- **Extraction** — Pulls structured data from text at low cost.

## Strengths

- Very cheap
- Low latency
- High throughput
- Multimodal input

## Limitations

- Limited deep reasoning
- Smaller context

## Where to get access

- Consumer app: ChatGPT (web, desktop, mobile) — https://chatgpt.com
- API: the OpenAI Platform — https://platform.openai.com
- Also available: Microsoft Azure OpenAI Service
- Docs: https://platform.openai.com/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/