GPT-4 Turbo: Complete Benchmark Performance Guide

openai turbo 2023-11-06 Proprietary

In-depth analysis of GPT-4 Turbo performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

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@12023-11-06—view
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

Descripción del modelo

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。

Especificaciones principales

ProveedorVersiónFecha de lanzamientoVentana de contextoModalidades de entradaModalidades de salidaLicencia
Openaiturbo2023-11-06128Ktext, imagetextProprietary

Rendimiento en benchmarks

BenchmarkPuntuaciónUnidadNotas
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

Precios

EntradaSalidaLectura cachéEscritura caché
————

por millón de tokens

Fortalezas

  • 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。

Debilidades

  • 闭源专有模型，不支持自托管。

Casos de uso

  • 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

Referencias