What are the differences?

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

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Google logo

Gemini 1.5 Nano

Google

Mistral logo

Mistral Large

Mistral

Overview

Google logo

Gemini 1.5 Nano

Mistral logo

Mistral Large

Provider

Organization responsible for this model.

Google logo

Google

Mistral logo

Mistral

Input Context Window

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

Not specified.

32K

Maximum Output Tokens

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

Not specified.

4.1K

Release Date

The initial release date of the model.

May 14, 2024

18 months ago

February 26, 2024

20 months ago

Knowledge Cutoff

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

Not specified.

Unknown

Pricing

Google logo

Gemini 1.5 Nano

Mistral logo

Mistral Large

Input

Costs associated with the data input to the model.

Not specified.

$4.00

Output

Costs associated with the tokens produced by the model.

Not specified.

$12.00

Benchmark

Google logo

Gemini 1.5 Nano

Mistral logo

Mistral Large

MMLU

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

81.2

MMMU

Comprehensive benchmark covering multiple disciplines and modalities.

HellaSwag

A demanding benchmark for sentence completion tasks.

89.2

Arena Elo

Ranking metric for LMSYS Chatbot Arena.

1158

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