What are the differences?

Between the Mistral Small and OpenChat 3.5 0106 LLM models, which follows best instructions?

Compare

Mistral logo

to

OpenChat logo
Mistral logo

Mistral Small

Mistral

OpenChat logo

OpenChat 3.5 0106

OpenChat

Overview

Mistral logo

Mistral Small

OpenChat logo

OpenChat 3.5 0106

Provider

Organization responsible for this model.

Mistral logo

Mistral

OpenChat logo

OpenChat

Input Context Window

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

32K
8.2K

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.

February 26, 2024

20 months ago

November 1, 2023

24 months ago

Knowledge Cutoff

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

Unknown

2024/1

Pricing

Mistral logo

Mistral Small

OpenChat logo

OpenChat 3.5 0106

Input

Costs associated with the data input to the model.

$2.50

Not specified.

Output

Costs associated with the tokens produced by the model.

$7.50

Not specified.

Benchmark

Mistral logo

Mistral Small

OpenChat logo

OpenChat 3.5 0106

MMLU

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

72.2
65.8

MMMU

Comprehensive benchmark covering multiple disciplines and modalities.

HellaSwag

A demanding benchmark for sentence completion tasks.

Arena Elo

Ranking metric for LMSYS Chatbot Arena.

1127
1091

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