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GPT-6 Astra (Max)

OpenAIProprietary

描述

GPT-6 Astra is OpenAI's released flagship for the hardest end-to-end work across complex reasoning, coding, computer use, research, and document creation. The API model id is gpt-6-astra. It accepts text and image input with text output, supports low, medium, high, xhigh, and max reasoning effort (but not none), and provides a 1,050,000-token context window with up to 128,000 output tokens. Responses API tools include web and file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, MCP, and tool search; it also supports streaming, function calling, structured outputs, async tool calling, mid-turn steering, and configuration updates during a conversation. Standard pricing is $10 input, $1 cached input, $12.50 cache writes, and $50 output per million tokens. Requests above 272K input tokens cost 2x for input and cache and 1.5x for output across the full request; Batch and Flex are 50% of Standard, while Fast is 2x.

发布日期
2026-09-03
参数规模
—
上下文长度
1.1M
支持模态
image, pdf, text

能力雷达图

53
general
74
coding
96
reasoning
74
science
60
agents
90
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜1
76.0
LS
代码能力榜23
93.0
AA
通用能力榜7
91.0
AA
数学推理4
97.0
LB
多模态榜8
70.0
LS
推理能力3
93.0
LB
科学能力5
91.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

SEC-bench Pro85.4%自报
LifeSciBench60.3%自报
Agents' Last Exam59.3%自报
ExploitGym42.4%自报
AutomationBench41.4%自报
GeneBench-Pro37.8%自报

Code

ExploitBench100.0%自报
BenchCAD (with Python tool)95.9%自报
DeepSWE 1.174.1%自报

Healthcare

HealthBench Professional63.4%自报

Math

FrontierMath Tier 4 (v2)97.6%自报

Multimodal

OSWorld 2.072.6%自报

Reasoning

ARC-AGI-399.9%自报
ARC-AGI98.5%自报
GPQANYU + Cohere + Anthropic (2023)96.0%自报
ARC-AGI v295.0%自报
BrowseCompOpenAI (2025)91.5%自报
Terminal-Bench-Science 0.164.6%自报
Terminal-Bench 4.057.7%自报
Humanity's Last Exam (with tools, text-only)57.2%自报
FrontierCode 1.153.3%自报

Vision

ScreenSpot Pro92.7%自报

AA 评测指数

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
96.1
Terminalbench V2 1
88.4
Lcr(Artificial Analysis)
80.7
Coding Index(Artificial Analysis)
76.9
Terminalbench V4 0
59.1
Scicode(UIUC + Argonne National Lab (2024))
56.5
Hle(Center for AI Safety + Scale AI (2025))
54.7
Intelligence Index(Artificial Analysis)
52.7
Tau Banking
41.4

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
100
Spatial Reasoning
100
Biology
100
Chemistry
100
Search
90
Grounding
90
Vision
90
Math
80
Multimodal
80
Safety
80
General
80
Reasoning
70
Code
70
Healthcare
60
Agents
60
Tool Calling
60
Science
50

定价

输入价格$10 / 1M tokens
输出价格$50 / 1M tokens
混合价格(3:1)$20 / 1M tokens
缓存读取价格$1 / 1M tokens
缓存写入价格$12.5 / 1M tokens

速度

Tokens/秒63.0
首Token延迟166.20s
首回答延迟166.20s

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
$0.00001
$0.00005

比较该模型在不同 API 供应商之间的定价。

外部链接