Key Specifications

Vendoropenai
Version4-32k
Release Date2023-03-14
Context Window32768 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 80.8 % 2023-03-14 5-shot view
HUMANEVAL 76.8 pass@1 2023-03-14 view
GSM8K 81.6 % 2023-03-14 0-shot CoT view
MATH 40.1 % 2023-03-14 0-shot CoT view
BBH 79.2 % 2023-03-14 3-shot CoT view
GPQA 40.9 % 2023-03-14 0-shot view
IFEVAL 74.7 % 2023-03-14 prompt_strict view
ARC 95 % 2023-03-14 challenge view
MUSR 54.9 % 2023-03-14 0-shot view
WINOGRANDE 82.2 % 2023-03-14 0-shot view

Pricing

Tier Price Currency
Input$60 / MtokUSD
Output$120 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://openai.com/api/pricing/ · as of 2023-03-14

Compliance

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

GPT-4 32K

Model Overview

OpenAI GPT-4 32K 上下文版本, 支持 32768 token 长文本输入, 适合长文档理解与生成任务。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Openai 4-32k 2023-03-14 32K text text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 80.8 % 5-shot
HumanEval 76.8 pass@1
GSM8K (Grade School Math 8K) 81.6 % 0-shot CoT
MATH 40.1 % 0-shot CoT
BBH (BIG-Bench Hard) 79.2 % 3-shot CoT
GPQA 40.9 % 0-shot
IFEval 74.7 % prompt_strict
ARC 95.0 % challenge
MUSR 54.9 % 0-shot
WinoGrande 82.2 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • MMLU score 80.8, strong knowledge reasoning.
  • Context window 32K.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

  • Code generation and debugging
  • Long document summarization
  • Agent workflows and tool use

References