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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.

發布日期
2026-09-03
參數規模
—
上下文長度
1.1M
支援模態
image, pdf, text

能力雷達圖

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜1
76.0
LS
程式碼能力榜23
93.0
AA
通用能力榜7
91.0
AA
數學推理4
97.0
LB
多模態榜8
70.0
LS
推理能力3
93.0
LB
科學能力5
91.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Code

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

Healthcare

HealthBench Professional63.4%自報

Math

FrontierMath Tier 4 (v2)97.6%自報

Multimodal

OSWorld 2.072.6%自報

Reasoning

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

Vision

ScreenSpot Pro92.7%自報

AA 評測指數

(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 分類評分

(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

定價

輸入價格$10 / 1M tokens
輸出價格$50 / 1M tokens
混合價格(3:1)$20 / 1M tokens
快取讀取價格$1 / 1M tokens
快取寫入價格$12.5 / 1M tokens

速度

Tokens/秒66.8
首Token延遲167.24s
首回答延遲167.24s

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
$0.00001
$0.00005

比較該模型在不同 API 供應商之間的定價。

外部連結