Key Specifications

Vendoropenai
Versionturbo
Release Date2023-11-06
Context Window128000 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseProprietary
Documentationhttps://platform.openai.com/docs/models

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU84.4%2023-11-065-shotview
HUMANEVAL80.5pass@12023-11-06view
GSM8K85.2%2023-11-060-shot CoTview
MATH50.9%2023-11-060-shot CoTview
BBH78.5%2023-11-063-shot CoTview
GPQA49.2%2023-11-060-shotview
IFEVAL77.9%2023-11-06prompt_strictview
ARC94.2%2023-11-06challengeview
MUSR61.1%2023-11-060-shotview
WINOGRANDE80.8%2023-11-060-shotview

Pricing

TierPriceCurrency
Input$10 / MtokUSD
Output$30 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://openai.com/api/pricing/ · as of 2023-11-06

Compliance

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

GPT-4 Turbo

모델 개요

OpenAI GPT-4 Turbo 模型, 128K 上下文窗口, 支持视觉输入, 相比 GPT-4 价格降低 3 倍, 性能提升。

핵심 사양

공급업체버전출시일컨텍스트 창입력 모달리티출력 모달리티라이선스
Openaiturbo2023-11-06128Ktext, imagetextProprietary

벤치마크 성능

벤치마크점수단위비고
MMLU (Massive Multitask Language Understanding)84.4%5-shot
HumanEval80.5pass@1
GSM8K (Grade School Math 8K)85.2%0-shot CoT
MATH50.9%0-shot CoT
BBH (BIG-Bench Hard)78.5%3-shot CoT
GPQA49.2%0-shot
IFEval77.9%prompt_strict
ARC94.2%challenge
MUSR61.1%0-shot
WinoGrande80.8%0-shot

가격

입력출력캐시 읽기캐시 쓰기

백만 토큰당

강점

  • MMLU score 84.4, strong knowledge reasoning.
  • HumanEval 80.5, excellent code generation.
  • GSM8K 85.2, robust math reasoning.
  • 支持文本、图像、音频多模态输入。
  • 上下文窗口 128K,支持长文本。

약점

  • 闭源专有模型,不支持自托管。

사용 사례

  • 代码生成与调试
  • 长文档摘要
  • 视觉与图像理解
  • Agent 工作流与工具调用

참고문헌