Key Specifications

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

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 86.3 % 2024-12-17 5-shot view
HUMANEVAL 85.3 pass@1 2024-12-17 view
GSM8K 88.9 % 2024-12-17 0-shot CoT view
MATH 55.7 % 2024-12-17 0-shot CoT view
BBH 83.1 % 2024-12-17 3-shot CoT view
GPQA 57.5 % 2024-12-17 0-shot view
IFEVAL 82.2 % 2024-12-17 prompt_strict view
ARC 96.8 % 2024-12-17 challenge view
MUSR 71.8 % 2024-12-17 0-shot view
WINOGRANDE 86.7 % 2024-12-17 0-shot view

Pricing

Tier Price Currency
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

Model Overview

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。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Openai o1 2024-12-17 200K text text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 86.3 % 5-shot
HumanEval 85.3 pass@1
GSM8K (Grade School Math 8K) 88.9 % 0-shot CoT
MATH 55.7 % 0-shot CoT
BBH (BIG-Bench Hard) 83.1 % 3-shot CoT
GPQA 57.5 % 0-shot
IFEval 82.2 % prompt_strict
ARC 96.8 % challenge
MUSR 71.8 % 0-shot
WinoGrande 86.7 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • MMLU score 86.3, strong knowledge reasoning.
  • HumanEval 85.3, excellent code generation.
  • GSM8K 88.9, robust math reasoning.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging
  • Agent workflows and tool use

References