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ease
features
design
support

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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

SmolLM2 comprises an advanced suite of compact language models specifically created for on-device functionalities. This collection features models with varying sizes, including those with 1.7 billion parameters, as well as more streamlined versions at 360 million and 135 million parameters, ensuring efficient performance on even the most limited hardware. They excel in generating text and are fine-tuned for applications requiring real-time responsiveness and minimal latency, delivering high-quality outcomes across a multitude of scenarios such as content generation, coding support, and natural language understanding. The versatility of SmolLM2 positions it as an ideal option for developers aiming to incorporate robust AI capabilities into mobile devices, edge computing solutions, and other settings where resources are constrained. Its design reflects a commitment to balancing performance and accessibility, making cutting-edge AI technology more widely available.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AiAssistWorks Yes 
Amp Yes 
Bind AI Yes 
Claude Yes 
Claude Code Yes 
Claude Opus 3 Yes 
Claude Pro Yes 
Claude Sonnet 3.7 Yes 
Gemini Enterprise Agent Platform Yes 
Hugging Face No 
Jenova Yes 
Mercury Voice Yes 
Mirai No 
Offerin AI Yes 
Runpod No 
Sup AI Yes 
TypeThink Yes 
Unmixr Yes 
Vellum Yes 
Workik Yes 

Integrations

AiAssistWorks No 
Amp No 
Bind AI No 
Claude No 
Claude Code No 
Claude Opus 3 No 
Claude Pro No 
Claude Sonnet 3.7 No 
Gemini Enterprise Agent Platform No 
Hugging Face Yes 
Jenova No 
Mercury Voice No 
Mirai Yes 
Offerin AI No 
Runpod Yes 
Sup AI No 
TypeThink No 
Unmixr No 
Vellum No 
Workik No 

Pricing Details

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

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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

Hugging Face

Founded

2016

Country

United States

Website

huggingface.co/collections/HuggingFaceTB/smollm2-6723884218bcda64b34d7db9

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