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GPT-6 Luna (Max)

OpenAIProprietary

描述

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.

發布日期
2026-09-22
參數規模
—
上下文長度
1.1M
支援模態
image, pdf, text

能力雷達圖

28
general
50
coding
40
reasoning
34
science估算
40
agents
50
multimodal

缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。

排行榜排名

領域#排名分數來源
智慧體能力模型榜94
43.0
LS
程式碼能力榜24
85.0
LB
通用能力榜33
42.0
AA
數學推理33
89.0
LB
多模態榜97
44.0
LS
推理能力39
82.0
LB
科學能力34
41.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Agents' Last Exam50.9%自報
AutomationBench v1.0.620.7%自報

Code

DeepSWE 1.166.6%自報

Multimodal

OSWorld 2.052.7%自報

Reasoning

FrontierCode 1.142.4%自報

AA 評測指數

(Artificial Analysis)
Strategy And Ops
43.2
Healthcare And Medical
34.8
Economics
34.5
Finance And Accounting
33.9
Engineering(Artificial Analysis)
33.3
Legal
32.2
Intelligence Index(Artificial Analysis)
27.9

LLM Stats 分類評分

(LLM Stats (zeroeval))
Multimodal
50
General
50
Agents
50
Code
50
Vision
50
Reasoning
40
Tool Calling
40

定價

輸入價格$0.1 / 1M tokens
輸出價格$0.5 / 1M tokens
混合價格(3:1)$0.2 / 1M tokens
快取讀取價格$0.01 / 1M tokens
快取寫入價格$0.125 / 1M tokens

速度

Tokens/秒125.4
首Token延遲117.12s
首回答延遲117.12s

供應商價格排行

供應商價格排行

1 個供應商

供應商輸入輸出
1OpenAI主要
$0.1
$0.5

比較該模型在不同 API 供應商之間的定價。

外部連結