Key Specifications

Vendoropenai
Versiono1
Release Date2024-12-17
Context Window200000 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU86.3%2024-12-175-shotview
HUMANEVAL85.3pass@12024-12-17view
GSM8K88.9%2024-12-170-shot CoTview
MATH55.7%2024-12-170-shot CoTview
BBH83.1%2024-12-173-shot CoTview
GPQA57.5%2024-12-170-shotview
IFEVAL82.2%2024-12-17prompt_strictview
ARC96.8%2024-12-17challengeview
MUSR71.8%2024-12-170-shotview
WINOGRANDE86.7%2024-12-170-shotview

Pricing

TierPriceCurrency
Input$15 / MtokUSD
Output$60 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://openai.com/api/pricing/ · as of 2024-12-17

Compliance

  • Data Residency: US
  • SOC2: ✓
  • HIPAA: ✓
  • GDPR: ✓
  • ISO 27001: ✓

o1

模型概述

OpenAI o1 正式版推理模型, 200K 上下文, 强化链式思维推理, 在数学竞赛与编程竞赛上达到顶尖水平。

核心规格

厂商版本发布日期上下文窗口输入模态输出模态许可证
Openaio12024-12-17200KtexttextProprietary

基准测试表现

基准得分单位备注
MMLU (Massive Multitask Language Understanding)86.3%5-shot
HumanEval85.3pass@1
GSM8K (Grade School Math 8K)88.9%0-shot CoT
MATH55.7%0-shot CoT
BBH (BIG-Bench Hard)83.1%3-shot CoT
GPQA57.5%0-shot
IFEval82.2%prompt_strict
ARC96.8%challenge
MUSR71.8%0-shot
WinoGrande86.7%0-shot

定价

输入输出缓存读取缓存写入

每百万 token

优势

  • MMLU 得分 86.3,知识推理能力强。
  • HumanEval 85.3,代码生成能力出色。
  • GSM8K 88.9,数学推理稳健。

劣势

  • 闭源专有模型,不支持自托管。

适用场景

  • 代码生成与调试
  • Agent 工作流与工具调用

参考文献