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Claude Sonnet 4

Model ● Covered in 6 stories + Follow

Claude Sonnet 4 is a large language model from Anthropic that has been used as a benchmark in recent AI safety and capability research. The model achieved a 67% win rate in simulated nuclear crisis scenarios and demonstrated competitive performance on coding tasks with a 70.4% score on SWE-bench Verified, though recent studies showed that specialized fine-tuned smaller models can outperform it on specific domain tasks like clinical documentation.

Updated 5 August 2026

Specifications

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Latest developments

How catastrophic is your LLM? Amazon Science · 4 months ago · 55
Import AI 446: Nuclear LLMs; China's big AI benchmark; measurement and AI policy Import AI · 6 months ago · 28
Fine-Tuning Small Open-Source LLMs to Outperform Large Closed-Source Models by 60% on Specialized Tasks Together AI · 1 year ago · 52
Qwen3-Coder: The Most Capable Agentic Coding Model Now Available on Together AI Together AI · 1 year ago · 43
Qwen3-Coder: Agentic Coding in the World GitHub Pages · 1 year ago · 8
Reflection AI Launches Asimov: Breakthrough Agent for Code Comprehension Sequoia · 1 year ago · 18

Timeline

Month Quarter Year

Q2 2026

Q1 2026

Q3 2025

Alibaba releases Qwen3-Coder, a 480-billion parameter open-source coding model with agentic capabilities Model release

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