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 vs Claude 3 Opus

Model Overview

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.

Key Specifications

VendorRelease DateContext WindowLicense
Google / Anthropic2024-02-15 / 2024-03-042000K / 200KProprietary / Proprietary

Benchmark Performance

BenchmarkGemini 1.5 ProClaude 3 OpusWinner
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

Pricing Comparison

InputOutputCache ReadCache Write
— / —— / —— / —— / —

per million tokens — A / B

Strengths & Weaknesses

Gemini 1.5 Pro

  • ✅ MMLU score 85.9, strong knowledge reasoning.
  • ✅ GSM8K 91.7, robust math reasoning.
  • ✅ Input Modalities: text, image, audio.
  • ✅ Context window 2000K.
  • ⚠️ Proprietary, not self-hostable.

Claude 3 Opus

  • ✅ MMLU score 81.2, strong knowledge reasoning.
  • ✅ HumanEval 83.3, excellent code generation.
  • ✅ GSM8K 91.8, robust math reasoning.
  • ✅ Input Modalities: text, image, audio.
  • ✅ Context window 200K.
  • ⚠️ Proprietary, not self-hostable.

Editor’s Take

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.

References

Editor's Take

See Editor's Take section.