Key Specifications

SpecificationGPT-4oClaude 3.5 Sonnet
Vendoropenaianthropic
Version4o3.5-sonnet
Release Date2024-05-132024-06-20
Context Window128000 tokens200000 tokens
Input Modalitiestext, image, audiotext, image
Output Modalitiestext, audiotext
LicenseProprietaryProprietary
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkGPT-4oClaude 3.5 SonnetWinner
BBH83.184.5Claude 3.5 Sonnet
GSM8K95.896.4Claude 3.5 Sonnet
HUMANEVAL90.292Claude 3.5 Sonnet
MATH76.671.1GPT-4o
MMLU88.788.7Tie

Pricing Comparison

Tier (per Mtok)GPT-4oClaude 3.5 Sonnet
Input$2.5$3
Output$10$15
Cache Read$1.25$0.3
Cache Write$2.5$3.75

GPT-4o 대 Claude 3.5 Sonnet

모델 개요

GPT-4o and Claude 3.5 Sonnet are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.

핵심 사양

공급업체출시일컨텍스트 창라이선스
Openai / Anthropic2024-05-13 / 2024-06-20128K / 200KProprietary / Proprietary

벤치마크 성능

벤치마크GPT-4oClaude 3.5 Sonnet승자
BBH (BIG-Bench Hard)83.184.5B
GSM8K (Grade School Math 8K)95.896.4B
HumanEval90.292.0B
MATH76.671.1A
MMLU (Massive Multitask Language Understanding)88.788.7Tie

가격 비교

입력출력캐시 읽기캐시 쓰기
— / —— / —— / —— / —

백만 토큰당 — A / B

강점 & 약점

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。

Claude 3.5 Sonnet

  • ✅ MMLU score 88.7, strong knowledge reasoning.
  • ✅ HumanEval 92.0, excellent code generation.
  • ✅ GSM8K 96.4, robust math reasoning.
  • ✅ 上下文窗口 200K,支持长文本。
  • ⚠️ 闭源专有模型,不支持自托管。

편집자 의견

GPT-4o and Claude 3.5 Sonnet each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.

FAQ

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.

참고문헌

Editor's Take

See Editor's Take section.