Key Specifications

Vendoropenai
Version4
Release Date2023-03-14
Context Window8192 tokens
Input Modalitiestext
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU85.8%2023-03-145-shotview
HUMANEVAL77.6pass@12023-03-14view
GSM8K91.7%2023-03-140-shot CoTview
MATH43.9%2023-03-140-shot CoTview
BBH80.9%2023-03-143-shot CoTview
GPQA39.2%2023-03-140-shotview
IFEVAL74.6%2023-03-14prompt_strictview
ARC94.1%2023-03-14challengeview
MUSR54.6%2023-03-140-shotview
WINOGRANDE80.3%2023-03-140-shotview

Pricing

TierPriceCurrency
Input$30 / MtokUSD
Output$60 / 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

모델 개요

OpenAI GPT-4 大型语言模型, 8K 上下文, 在推理/创意/协作任务上显著超越 GPT-3.5, 首次引入人类水平表现。

핵심 사양

공급업체버전출시일컨텍스트 창입력 모달리티출력 모달리티라이선스
Openai42023-03-148KtexttextProprietary

벤치마크 성능

벤치마크점수단위비고
MMLU (Massive Multitask Language Understanding)85.8%5-shot
HumanEval77.6pass@1
GSM8K (Grade School Math 8K)91.7%0-shot CoT
MATH43.9%0-shot CoT
BBH (BIG-Bench Hard)80.9%3-shot CoT
GPQA39.2%0-shot
IFEval74.6%prompt_strict
ARC94.1%challenge
MUSR54.6%0-shot
WinoGrande80.3%0-shot

가격

입력출력캐시 읽기캐시 쓰기

백만 토큰당

강점

  • MMLU score 85.8, strong knowledge reasoning.
  • GSM8K 91.7, robust math reasoning.

약점

  • 闭源专有模型,不支持自托管。
  • 上下文窗口 8K 偏小。

사용 사례

  • 代码生成与调试
  • Agent 工作流与工具调用

참고문헌