DataLearner 标志

GPT-6 AstravsGPT-5.6 Sol

在 24 个共同 benchmark 中,GPT-6 Astra 整体领先:GPT-6 Astra 领先 18 项,GPT-5.6 Sol 领先 6 项,持平 0 项,平均分差 +17.63。

OpenAI
GPT-6 Astra

OpenAI · 2026-09-03 · 推理大模型

OpenAI
GPT-5.6 Sol

OpenAI · 2026-06-26 · 推理大模型

GPT-6 Astra18 项(75%)(25%)6 项GPT-5.6 Sol

评测分数

按能力类目分组,每组内按分差大小排列;共 24 项。

金融

GPT-5.6 Sol 领先 3/3
评测项GPT-6 AstraGPT-5.6 Sol分差
Tax Agent Bench63.3412 / 20Max (With Tools)67.958 / 20Max (With Tools)-4.61
EMB (Excel Modeling)71.707 / 42Max (With Tools)72.345 / 42Max (With Tools)-0.64
Finance Agent v253.5423 / 43Max (With Tools)53.7621 / 43Max (With Tools)-0.22

临床工作与医疗决策

GPT-6 Astra 领先 2/2
评测项GPT-6 AstraGPT-5.6 Sol分差
MedCode48.4920 / 64Max (With Tools)43.9732 / 64Max (With Tools)+4.52
MedScribe87.9111 / 66Max (With Tools)85.2320 / 66Max (With Tools)+2.68

法律

胶着 2/2
评测项GPT-6 AstraGPT-5.6 Sol分差
Legal Research Bench39.4220 / 42Max (With Tools)48.087 / 42Max (With Tools)-8.66
Harvey's Legal Agent Benchmark5.4222 / 43Max (With Tools)2.5029 / 43Max (With Tools)+2.92

程序生成与编辑

GPT-6 Astra 领先 2/2
评测项GPT-6 AstraGPT-5.6 Sol分差
Vibe Code Bench v1.189.595 / 61Max (With Tools)80.5017 / 61Max (With Tools)+9.09
FrontierCode 1.1 Extended64.502 / 7Max (With Tools)60.605 / 7Max (With Tools)+3.90

专业数据分析

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
AA-AnalystAgent51.254 / 29Max (With Tools + Internet)47.507 / 29Max (With Tools + Internet)+3.75

仓库修复与多文件工程

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
DeepSWE74.124 / 92Extra-High (With Tools)72.7013 / 92Extra-High (With Tools)+1.42

写作与创意表达

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
Creative Writing2,1731 / 110Normal (No Tools)1,9729 / 110Normal (No Tools)+201.70

办公与文档流程

GPT-5.6 Sol 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
AutomationBench41.4014 / 25Max (With Tools)45.8011 / 25Max (With Tools)-4.40

多轮记忆与持续上下文

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
EBR-bench76.191 / 23Max (With Tools)44.766 / 23Max (With Tools)+31.43

客服与业务流程

GPT-5.6 Sol 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
SAGE46.3728 / 64Max (With Tools)52.564 / 64Max (With Tools)-6.19

抽象归纳与泛化

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
ARC-AGI-362.711 / 51Max (No Tools)7.7813 / 51Max (No Tools)+54.93

数学

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
ProofBench v1.1 (Lean 4)993 / 28Max (With Tools)837 / 28Max (With Tools)+16

机器学习工程

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
WeirdML v30.421 / 13Extra-High (With Tools)0.157 / 13Extra-High (With Tools)+0.27

科学知识与推理

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
MysteryMechanism53.151 / 13Max (With Tools)33.337 / 13Max (With Tools)+19.82

科学计算与科研编程

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
Terminal-Bench-Science 0.168.101 / 18Max (With Tools)22.406 / 18Max (With Tools)+45.70

算法与竞赛编程

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
IOI (Vals v2)1001 / 26Max (With Tools)91.173 / 26Max (With Tools)+8.83

维护、优化与工程管理

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
Code Migration67.741 / 43Max (With Tools)52.927 / 43Max (With Tools)+14.82

自主开发与终端任务

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
Terminal-Bench 4.058.184 / 98Max (With Tools)37.2724 / 98Max (With Tools)+20.91

跨能力聚合指数

GPT-6 Astra 领先 1/1
评测项GPT-6 AstraGPT-5.6 Sol分差
Vals Index v2.163.136 / 36Max (task-specific tools)58.019 / 36Max (task-specific tools)+5.12

规格对比

字段GPT-6 AstraGPT-5.6 Sol
发布机构OpenAIOpenAI
发布时间2026-09-032026-06-26
模型类型推理大模型推理大模型
架构稠密模型稠密模型
参数规模暂无数据暂无数据
上下文长度1.05M1.05M
最大输出128K128K

API 调用价格

价格优先使用 DataLearner 配置的 API 记录;缺失项不做推测。

价格项GPT-6 AstraGPT-5.6 Sol
文本输入$10 / 1M tokens$4 / 1M tokens
文本输出$50 / 1M tokens$20 / 1M tokens
缓存读取$1 / 1M tokens$0.4 / 1M tokens
缓存写入$12.5 / 1M tokens$5 / 1M tokens

小结

  • GPT-6 Astra在以下类目领先:临床工作与医疗决策 (2/2)、程序生成与编辑 (2/2)、专业数据分析 (1/1)、仓库修复与多文件工程 (1/1)、写作与创意表达 (1/1)、多轮记忆与持续上下文 (1/1)、抽象归纳与泛化 (1/1)、数学 (1/1)、机器学习工程 (1/1)、科学知识与推理 (1/1)、科学计算与科研编程 (1/1)、算法与竞赛编程 (1/1)、维护、优化与工程管理 (1/1)、自主开发与终端任务 (1/1)、跨能力聚合指数 (1/1)
  • GPT-5.6 Sol在以下类目领先:金融 (3/3)、办公与文档流程 (1/1)、客服与业务流程 (1/1)
  • 胶着类目:法律

24 个共同 benchmark 上,GPT-6 Astra 平均高出 17.63 分。

单项差距最大的 benchmark:Creative Writing — GPT-6 Astra 2,173,GPT-5.6 Sol 1,972(分差 +201.70)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。