What are the differences?

Between the Claude Instant 1.2 and Qwen1.5 14B Chat LLM models, which follows best instructions?

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Anthropic logo

Claude Instant 1.2

Anthropic

Alibaba Cloud logo

Qwen1.5 14B Chat

Alibaba Cloud

Overview

Anthropic logo

Claude Instant 1.2

Alibaba Cloud logo

Qwen1.5 14B Chat

Provider

Organization responsible for this model.

Anthropic logo

Anthropic

Alibaba Cloud logo

Alibaba Cloud

Input Context Window

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

100K
33K

Maximum Output Tokens

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

4.1K

Not specified.

Release Date

The initial release date of the model.

August 9, 2023

27 months ago

February 5, 2024

21 months ago

Knowledge Cutoff

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

2023/2

2024/2

Pricing

Anthropic logo

Claude Instant 1.2

Alibaba Cloud logo

Qwen1.5 14B Chat

Input

Costs associated with the data input to the model.

$0.80

Not specified.

Output

Costs associated with the tokens produced by the model.

$2.40

Not specified.

Benchmark

Anthropic logo

Claude Instant 1.2

Alibaba Cloud logo

Qwen1.5 14B Chat

MMLU

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

73.4

MMMU

Comprehensive benchmark covering multiple disciplines and modalities.

HellaSwag

A demanding benchmark for sentence completion tasks.

Arena Elo

Ranking metric for LMSYS Chatbot Arena.

1110
1108

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