What are the differences?

Between the Gemini 1.5 Flash and Gemini 1.5 Nano LLM models, which follows best instructions?

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Gemini 1.5 Flash

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Gemini 1.5 Nano

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Overview

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Gemini 1.5 Flash

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Gemini 1.5 Nano

Provider

Organization responsible for this model.

Google logo

Google

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Google

Input Context Window

The total number of tokens that the input context window can accommodate.

1M

Not specified.

Maximum Output Tokens

The maximum number of tokens this model can produce in one operation.

8.2K

Not specified.

Release Date

The initial release date of the model.

May 24, 2024

17 months ago

May 14, 2024

18 months ago

Knowledge Cutoff

The latest date for which the information provided is considered reliable and current.

2023/11

Not specified.

Pricing

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Gemini 1.5 Flash

Google logo

Gemini 1.5 Nano

Input

Costs associated with the data input to the model.

$0.35

Not specified.

Output

Costs associated with the tokens produced by the model.

$0.70

Not specified.

Benchmark

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Gemini 1.5 Flash

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Gemini 1.5 Nano

MMLU

Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios.

78.9

MMMU

Comprehensive benchmark covering multiple disciplines and modalities.

56.1

HellaSwag

A demanding benchmark for sentence completion tasks.

Arena Elo

Ranking metric for LMSYS Chatbot Arena.

1231

5000+ teams use Lunary to build reliable AI applications

IslandsbankiZurichNetomiCloseDHL

Building an AI chatbot?

Open-source GenAI monitoring, prompt management, and magic.

Open Source

Self Hostable

1-line Integration

Prompt Templates

Chat Replays

Analytics

Topic Classification

Agent Tracing

Custom Dashboards

Score LLM responses

PII Masking

Feedback Tracking

Open Source

Self Hostable

1-line Integration

Prompt Templates

Chat Replays

Analytics

Topic Classification

Agent Tracing

Custom Dashboards

Score LLM responses

PII Masking

Feedback Tracking