Gemini 1.0 Flash: Complete Benchmark Performance Guide

google 1.0-flash 2024-02-15 Proprietary

In-depth analysis of Gemini 1.0 Flash performance on MMLU, HumanEval, GSM8K, MATH, BBH benchmarks, including pricing and use cases.

Key Specifications

Vendorgoogle
Version1.0-flash
Release Date2024-02-15
Context Window32768 tokens
Input Modalitiestext, image
Output Modalitiestext
LicenseProprietary
Documentationhttps://ai.google.dev/gemini-api/docs

Benchmark Performance

BenchmarkScoreUnitEvaluated AtNotesSource
MMLU78.7%2024-02-155-shotview
HUMANEVAL65.7pass@12024-02-15—view
GSM8K86.2%2024-02-150-shot CoTview
MATH39.9%2024-02-150-shot CoTview
BBH74.8%2024-02-153-shot CoTview
GPQA37.7%2024-02-150-shotview
IFEVAL71.8%2024-02-15prompt_strictview
ARC92.6%2024-02-15challengeview
MUSR55.9%2024-02-150-shotview
WINOGRANDE80.1%2024-02-150-shotview

Pricing

TierPriceCurrency
Input$0.075 / MtokUSD
Output$0.3 / MtokUSD
Cache Read$0 / MtokUSD
Cache Write$0 / MtokUSD

Source: https://ai.google.dev/pricing · as of 2024-02-15

Compliance

  • Data Residency: US
  • SOC2: ✓
  • HIPAA: ✗
  • GDPR: ✓
  • ISO 27001: ✓

Gemini 1.0 Flash

모델 개요

Google Gemini 1.0 Flash 经济型, 32K 上下文, 速度快成本低, 适合实时多模态应用。

핵심 사양

공급업체버전출시일컨텍스트 창입력 모달리티출력 모달리티라이선스
Google1.0-flash2024-02-1532Ktext, imagetextProprietary

벤치마크 성능

벤치마크점수단위비고
MMLU (Massive Multitask Language Understanding)78.7%5-shot
HumanEval65.7pass@1—
GSM8K (Grade School Math 8K)86.2%0-shot CoT
MATH39.9%0-shot CoT
BBH (BIG-Bench Hard)74.8%3-shot CoT
GPQA37.7%0-shot
IFEval71.8%prompt_strict
ARC92.6%challenge
MUSR55.9%0-shot
WinoGrande80.1%0-shot

가격

입력출력캐시 읽기캐시 쓰기
————

백만 토큰당

강점

  • GSM8K 86.2, robust math reasoning.

약점

  • 闭源专有模型，不支持自托管。

사용 사례

  • 通用对话与问答

참고문헌