Key Specifications

Vendoropenai
Version4-0125-preview
Release Date2024-01-25
Context Window128000 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

Benchmark Score Unit Evaluated At Notes Source
MMLU 82.6 % 2024-01-25 5-shot view
HUMANEVAL 80.3 pass@1 2024-01-25 view
GSM8K 82.9 % 2024-01-25 0-shot CoT view
MATH 42.3 % 2024-01-25 0-shot CoT view
BBH 78.2 % 2024-01-25 3-shot CoT view
GPQA 46.8 % 2024-01-25 0-shot view
IFEVAL 71.4 % 2024-01-25 prompt_strict view
ARC 95.5 % 2024-01-25 challenge view
MUSR 65.8 % 2024-01-25 0-shot view
WINOGRANDE 86.6 % 2024-01-25 0-shot view

Pricing

Tier Price Currency
Input$10 / MtokUSD
Output$30 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://openai.com/api/pricing/ · as of 2024-01-25

Compliance

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

GPT-4 0125 Preview

Model Overview

OpenAI GPT-4 0125 预览版, 128K 上下文, 修复函数调用重复调用问题, 改进代码生成能力。

Core Specifications

Vendor Version Release Date Context Window Input Modalities Output Modalities License
Openai 4-0125-preview 2024-01-25 128K text text Proprietary

Benchmark Performance

Benchmark Score Unit Notes
MMLU (Massive Multitask Language Understanding) 82.6 % 5-shot
HumanEval 80.3 pass@1
GSM8K (Grade School Math 8K) 82.9 % 0-shot CoT
MATH 42.3 % 0-shot CoT
BBH (BIG-Bench Hard) 78.2 % 3-shot CoT
GPQA 46.8 % 0-shot
IFEval 71.4 % prompt_strict
ARC 95.5 % challenge
MUSR 65.8 % 0-shot
WinoGrande 86.6 % 0-shot

Pricing

Input Output Cache Read Cache Write

per million tokens

Strengths

  • MMLU score 82.6, strong knowledge reasoning.
  • HumanEval 80.3, excellent code generation.
  • Context window 128K.

Weaknesses

  • Proprietary, not self-hostable.

Use Cases

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

References