Key Specifications

SpecificationGPT-4oDeepSeek V3
Vendoropenaideepseek
Version4ov3
Release Date2024-05-132024-12-26
Context Window128000 tokens64000 tokens
Input Modalitiestext, image, audiotext
Output Modalitiestext, audiotext
LicenseProprietaryDeepSeek License
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkGPT-4oDeepSeek V3Winner
BBH83.184.9DeepSeek V3
GSM8K95.889.3GPT-4o
HUMANEVAL90.282.6GPT-4o
MATH76.661.6GPT-4o
MMLU88.788.5GPT-4o

Pricing Comparison

Tier (per Mtok)GPT-4oDeepSeek V3
Input$2.5$0.27
Output$10$1.1
Cache Read$1.25$0.07
Cache Write$2.5$0.27

GPT-4o contra DeepSeek V3

Descripción del modelo

GPT-4o and DeepSeek V3 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 / Deepseek2024-05-13 / 2024-12-26128K / 64KProprietary / DeepSeek License

Rendimiento en benchmarks

BenchmarkGPT-4oDeepSeek V3Ganador
BBH (BIG-Bench Hard)83.184.9B
GSM8K (Grade School Math 8K)95.889.3A
HumanEval90.282.6A
MATH76.661.6A
MMLU (Massive Multitask Language Understanding)88.788.5Tie

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。

DeepSeek V3

  • ✅ MMLU score 88.5, strong knowledge reasoning.
  • ✅ HumanEval 82.6, excellent code generation.
  • ✅ GSM8K 89.3, robust math reasoning.
  • ✅ 采用 MoE 混合专家架构。
  • ⚠️ 闭源专有模型,不支持自托管。

Opinión del editor

GPT-4o and DeepSeek V3 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.