Key Specifications

SpecificationGPT-4oGPT-4 Turbo
Vendoropenaiopenai
Version4oturbo
Release Date2024-05-132023-11-06
Context Window128000 tokens128000 tokens
Input Modalitiestext, image, audiotext, image
Output Modalitiestext, audiotext
LicenseProprietaryProprietary
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkGPT-4oGPT-4 TurboWinner
ARC94.2GPT-4 Turbo
BBH83.178.5GPT-4o
GPQA49.2GPT-4 Turbo
GSM8K95.885.2GPT-4o
HUMANEVAL90.280.5GPT-4o
IFEVAL77.9GPT-4 Turbo
MATH76.650.9GPT-4o
MMLU88.784.4GPT-4o
MUSR61.1GPT-4 Turbo
WINOGRANDE80.8GPT-4 Turbo

Pricing Comparison

Tier (per Mtok)GPT-4oGPT-4 Turbo
Input$2.5$10
Output$10$30
Cache Read$1.25$0
Cache Write$2.5$0

GPT-4o contra GPT-4 Turbo

Descripción del modelo

GPT-4o and GPT-4 Turbo are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.

Especificaciones clave

ProveedorFecha de lanzamientoVentana de contextoLicencia
Openai / Openai2024-05-13 / 2023-11-06128K / 128KProprietary / Proprietary

Rendimiento en benchmarks

BenchmarkGPT-4oGPT-4 TurboGanador
ARC94.2B
BBH (BIG-Bench Hard)83.178.5A
GPQA49.2B
GSM8K (Grade School Math 8K)95.885.2A
HumanEval90.280.5A
IFEval77.9B
MATH76.650.9A
MMLU (Massive Multitask Language Understanding)88.784.4A
MUSR61.1B
WinoGrande80.8B

Comparación de precios

EntradaSalidaLectura cachéEscritura caché
— / —— / —— / —— / —

por millón de tokens — A / B

Fortalezas & Debilidades

GPT-4o

  • ✅ MMLU score 88.7, strong knowledge reasoning.
  • ✅ HumanEval 90.2, excellent code generation.
  • ✅ GSM8K 95.8, robust math reasoning.
  • ✅ 支持文本、图像、音频多模态输入。
  • ⚠️ 闭源专有模型,不支持自托管。

GPT-4 Turbo

  • ✅ 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。
  • ⚠️ 闭源专有模型,不支持自托管。

Opinión del editor

GPT-4o and GPT-4 Turbo each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.

Preguntas frecuentes

Which model is better for coding tasks?

Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.

Which model is cheaper?

Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.

Which has a longer context window?

Refer to the key specifications table; the model with a larger context window is better for long documents.

Referencias

Editor's Take

See Editor's Take section.