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Claude 3.5 Sonnet

Model ● Covered in 7 stories Compare ⇄ + Follow

Claude 3.5 Sonnet is Anthropic's language model that has been integrated into various applications and services. The model has been deployed by Yahoo for keyword expansion in search retargeting ads, integrated into Anthropic's Claude Code ultrareview feature for automated code review, and used as a benchmark comparison point for evaluating other language models and specialized variants. Anthropic has also added Structured Outputs capability to the API for Claude 3.5 Sonnet, enabling developers to ensure model responses conform to specified JSON schemas.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

How Yahoo enhances search retargeting using Amazon Bedrock AWS Machine Learning · 3 days ago · 5

Claude Code /code-review Ultra Uses Multi-Agent Cloud Review The Neuron · 2 weeks ago · 35

Is it agentic enough? Benchmarking open models on your own tooling Hugging Face Blog · 1 month ago · 1

Open R1: How to use OlympicCoder locally for coding Hugging Face Blog · 1 year ago · 29

Introducing Qwen2-Math Qwen · 1 year ago · 11

Introducing Structured Outputs in the API OpenAI Blog · 1 year ago · 27

Data Machina #258 Data Machina · 2 years ago · 3

Timeline

Month Quarter Year

July 2026

June 2026

18 Jun Is it agentic enough? Benchmarking open models on your own tooling

March 2025

20 Mar Open R1: How to use OlympicCoder locally for coding

August 2024

7 Aug Introducing Qwen2-Math
6 Aug Introducing Structured Outputs in the API

June 2024

24 Jun Data Machina #258

Relationships

Products & technology

Anthropic develops this model · 3 sources
Amazon Bedrock supplies this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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