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GPT-6 Luna

Multimodal
OpenAI

GPT-6 Luna is OpenAI's GPT-6 model for focused, high-volume tasks. It supports text and image input with text output, a 1,050,000-token context window (maximum input 922,000 tokens), and 128,000 output tokens. Reasoning effort supports none, low, medium (API default), high, xhigh, and max. Responses API supports reasoning with function calling and built-in tools; Chat Completions function calling requires reasoning effort none. Standard per-million-token pricing is $0.1 input, $0.01 cached input, $0.125 cache writes, and $0.5 output. Prompts above 272K input tokens cost 2x input/cache and 1.5x output across the full request. Batch and Flex cost 50% of Standard; Fast costs 2x applicable rates. Regional processing adds 10% where available. Launch benchmarks are OpenAI-reported; effort, cost per task, and evaluation variants are recorded with each score.

Key Specifications

Parameters
-
Context
1.1M
Release Date
September 22, 2026
Average Score
46.7%

Timeline

Key dates in the model's history
Announcement
September 22, 2026
Last Update
September 23, 2026
Today
October 2, 2026

Technical Specifications

Parameters
-
Training Tokens
-
Knowledge Cutoff
May 18, 2026
Family
-
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$0.10
Output (per 1M tokens)
$0.50
Max Input Tokens
1.1M
Max Output Tokens
128.0K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Other Tests

Specialized benchmarks
Agents' Last Exam
OpenAI September 22, 2026 launch interactive chart. Highest published score across the reported effort sweep: max effort. Cost per task: $0.15. V1; long-horizon professional workflows across 55 sub-industries. Evaluations used OpenAI research environments or API and may differ from production ChatGPT. • Self-reported
50.9%
AutomationBench v1.0.6
OpenAI September 22, 2026 launch interactive chart. Highest published score across the reported effort sweep: max effort. Cost per task: $0.037. 47-tool business workflows. Evaluations used OpenAI research environments or API and may differ from production ChatGPT. • Self-reported
20.7%
DeepSWE 1.1
OpenAI September 22, 2026 launch interactive chart. Highest published score across the reported effort sweep: max effort. Cost per task: $0.22. Long-horizon software engineering. Evaluations used OpenAI research environments or API and may differ from production ChatGPT. • Self-reported
66.6%
FrontierCode 1.1
OpenAI September 22, 2026 launch interactive chart. Highest published score across the reported effort sweep: max effort. Cost per task: $0.11. Main subset; mergeability evaluation. Evaluations used OpenAI research environments or API and may differ from production ChatGPT. • Self-reported
42.4%
OSWorld 2.0
OpenAI September 22, 2026 launch interactive chart. Highest published score across the reported effort sweep: max effort. Cost per task: $0.27. Partial reward on the offline set of v2026.08.08, not strict completion or the full task set. Evaluations used OpenAI research environments or API and may differ from production ChatGPT. • Self-reported
52.7%

License & Metadata

License
proprietary
Announcement Date
September 22, 2026
Last Updated
September 23, 2026

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