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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.

发布日期
2026-09-22
参数规模
—
上下文长度
1.1M
支持模态
image, pdf, text

能力雷达图

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

缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。

排行榜排名

领域#排名分数来源
智能体能力模型榜94
43.0
LS
代码能力榜24
85.0
LB
通用能力榜33
42.0
AA
数学推理33
89.0
LB
多模态榜97
44.0
LS
推理能力39
82.0
LB
科学能力34
41.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Code

DeepSWE 1.166.6%自报

Multimodal

OSWorld 2.052.7%自报

Reasoning

FrontierCode 1.142.4%自报

AA 评测指数

(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 分类评分

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

定价

输入价格$0.1 / 1M tokens
输出价格$0.5 / 1M tokens
混合价格(3:1)$0.2 / 1M tokens
缓存读取价格$0.01 / 1M tokens
缓存写入价格$0.125 / 1M tokens

速度

Tokens/秒130.9
首Token延迟132.12s
首回答延迟132.12s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1OpenAI主要
$0.1
$0.5

比较该模型在不同 API 供应商之间的定价。

外部链接