Key Specifications

SpecificationGemini 1.5 ProClaude 3 Opus
Vendorgoogleanthropic
Version1.5-pro3-opus
Release Date2024-02-152024-03-04
Context Window2e+06 tokens200000 tokens
Input Modalitiestext, image, audio, videotext, image
Output Modalitiestexttext
LicenseProprietaryProprietary
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkGemini 1.5 ProClaude 3 OpusWinner
ARC94.5Claude 3 Opus
BBH8481.6Gemini 1.5 Pro
GPQA46Claude 3 Opus
GSM8K91.791.8Claude 3 Opus
HUMANEVAL71.983.3Claude 3 Opus
IFEVAL79.2Claude 3 Opus
MATH58.542.7Gemini 1.5 Pro
MMLU85.981.2Gemini 1.5 Pro
MUSR53.3Claude 3 Opus
WINOGRANDE81.9Claude 3 Opus

Pricing Comparison

Tier (per Mtok)Gemini 1.5 ProClaude 3 Opus
Input$1.25$15
Output$5$75
Cache Read$0.3125$0
Cache Write$1.25$0

Gemini 1.5 Pro 対 Claude 3 Opus

モデル概要

Gemini 1.5 Pro and Claude 3 Opus are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.

主要仕様

ベンダーリリース日コンテキストウィンドウライセンス
Google / Anthropic2024-02-15 / 2024-03-042000K / 200KProprietary / Proprietary

ベンチマークパフォーマンス

ベンチマークGemini 1.5 ProClaude 3 Opus勝者
ARC94.5B
BBH (BIG-Bench Hard)84.081.6A
GPQA46.0B
GSM8K (Grade School Math 8K)91.791.8Tie
HumanEval71.983.3B
IFEval79.2B
MATH58.542.7A
MMLU (Massive Multitask Language Understanding)85.981.2A
MUSR53.3B
WinoGrande81.9B

料金比較

入力出力キャッシュ読み取りキャッシュ書き込み
— / —— / —— / —— / —

100万トークンあたり — A / B

強み & 弱み

Gemini 1.5 Pro

  • ✅ MMLU score 85.9, strong knowledge reasoning.
  • ✅ GSM8K 91.7, robust math reasoning.
  • ✅ 支持文本、图像、音频多模态输入。
  • ✅ 上下文窗口 2000K,支持长文本。
  • ⚠️ 闭源专有模型,不支持自托管。

Claude 3 Opus

  • ✅ MMLU score 81.2, strong knowledge reasoning.
  • ✅ HumanEval 83.3, excellent code generation.
  • ✅ GSM8K 91.8, robust math reasoning.
  • ✅ 支持文本、图像、音频多模态输入。
  • ✅ 上下文窗口 200K,支持长文本。
  • ⚠️ 闭源专有模型,不支持自托管。

編集者コメント

Gemini 1.5 Pro and Claude 3 Opus 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.

参考文献

Editor's Take

See Editor's Take section.