Key Specifications

SpecificationGemini 1.5 ProGemini 1.5 Flash
Vendorgooglegoogle
Version1.5-pro1.5-flash
Release Date2024-02-152024-05-14
Context Window2e+06 tokens1e+06 tokens
Input Modalitiestext, image, audio, videotext, image, audio, video
Output Modalitiestexttext
LicenseProprietaryProprietary
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

BenchmarkGemini 1.5 ProGemini 1.5 FlashWinner
ARC93.4Gemini 1.5 Flash
BBH8471.7Gemini 1.5 Pro
GPQA38.5Gemini 1.5 Flash
GSM8K91.775.2Gemini 1.5 Pro
HUMANEVAL71.967.5Gemini 1.5 Pro
IFEVAL68Gemini 1.5 Flash
MATH58.553.2Gemini 1.5 Pro
MMLU85.976Gemini 1.5 Pro
MUSR46.1Gemini 1.5 Flash
WINOGRANDE78.9Gemini 1.5 Flash

Pricing Comparison

Tier (per Mtok)Gemini 1.5 ProGemini 1.5 Flash
Input$1.25$0.075
Output$5$0.3
Cache Read$0.3125$0
Cache Write$1.25$0

Gemini 1.5 Pro mot Gemini 1.5 Flash

Modellöversikt

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

Nyckelspecifikationer

LeverantörReleasedatumKontextfönsterLicens
Google / Google2024-02-15 / 2024-05-142000K / 1000KProprietary / Proprietary

Benchmarkprestanda

BenchmarkGemini 1.5 ProGemini 1.5 FlashVinnare
ARC93.4B
BBH (BIG-Bench Hard)84.071.7A
GPQA38.5B
GSM8K (Grade School Math 8K)91.775.2A
HumanEval71.967.5A
IFEval68.0B
MATH58.553.2A
MMLU (Massive Multitask Language Understanding)85.976.0A
MUSR46.1B
WinoGrande78.9B

Prisjämförelse

InmatningUtmatningCacheläsningCacheskrivning
— / —— / —— / —— / —

per miljon tokens — A / B

Styrkor & Svagheter

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。

Gemini 1.5 Flash

  • ✅ 支持文本、图像、音频多模态输入。
  • ✅ 上下文窗口 1000K,支持长文本。
  • ⚠️ 闭源专有模型,不支持自托管。

Redaktörens åsikt

Gemini 1.5 Pro and Gemini 1.5 Flash each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.

Vanliga frågor

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.

Referenser

Editor's Take

See Editor's Take section.