Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Anthropic has introduced Claude Haiku 4.5, its newest small language model aimed at achieving near-frontier capabilities at a significantly reduced cost. This model mirrors the coding and reasoning abilities of the company's mid-tier Sonnet 4, yet operates at approximately one-third of the expense while delivering over double the processing speed. According to benchmarks highlighted by Anthropic, Haiku 4.5 either matches or surpasses the performance of Sonnet 4 in critical areas such as code generation and intricate "computer use" workflows. The model is specifically optimized for scenarios requiring real-time, low-latency performance, making it ideal for applications like chat assistants, customer support, and pair-programming. Available through the Claude API under the designation “claude-haiku-4-5,” Haiku 4.5 is designed for large-scale implementations where cost-effectiveness, responsiveness, and advanced intelligence are essential. Now accessible on Claude Code and various applications, this model's efficiency allows users to achieve greater productivity within their usage confines while still enjoying top-tier performance. Moreover, its launch marks a significant step forward in providing businesses with affordable yet high-quality AI solutions.

Description

OpenELM is a family of open-source language models created by Apple. By employing a layer-wise scaling approach, it effectively distributes parameters across the transformer model's layers, resulting in improved accuracy when compared to other open language models of a similar scale. This model is trained using datasets that are publicly accessible and is noted for achieving top-notch performance relative to its size. Furthermore, OpenELM represents a significant advancement in the pursuit of high-performing language models in the open-source community.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

AiAssistWorks Yes 
Amazon Bedrock Yes 
Amp Yes 
AnyAPI Yes 
Augment Code Yes 
Buda Yes 
Cheaper Inference Yes 
Claude Pro Yes 
Claude Sonnet 3.5 Yes 
Claude Sonnet 3.7 Yes 
Diagramming AI Yes 
Duck.ai Yes 
Mercury Voice Yes 
Microsoft Foundry Yes 
Scalestack Yes 
Trancy Yes 
Vellum Yes 
Waveloom Yes 
Workik Yes 
Zo Computer Yes 

Integrations

AiAssistWorks No 
Amazon Bedrock No 
Amp No 
AnyAPI No 
Augment Code No 
Buda No 
Cheaper Inference No 
Claude Pro No 
Claude Sonnet 3.5 No 
Claude Sonnet 3.7 No 
Diagramming AI No 
Duck.ai No 
Mercury Voice No 
Microsoft Foundry No 
Scalestack No 
Trancy No 
Vellum No 
Waveloom No 
Workik No 
Zo Computer No 

Pricing Details

$1 per million input tokens
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

www.anthropic.com/news/claude-haiku-4-5

Vendor Details

Company Name

Apple

Founded

1976

Country

United States

Website

apple.com

Alternatives

Alternatives

Phi-4 Reviews

Phi-4

Microsoft
Claude Sonnet 5 Reviews

Claude Sonnet 5

Anthropic
Llama 2 Reviews

Llama 2

Meta
Gemma Reviews

Gemma

Google
Gemma 2 Reviews

Gemma 2

Google