Anthropic launches Claude Sonnet 5 as a cheaper way to run agents
Summary
Anthropic has launched Claude Sonnet 5, a more powerful and agentic version of its midsize foundation model, positioning agentic capability as a new baseline expectation across price tiers. Available as the default for free and Pro plans, Sonnet 5 is priced at \$2 per million input tokens and \$10 per million output tokens until August 31, then increasing to \$3 and \$15 respectively. This makes it cheaper than Opus 4.8, OpenAI's GPT-5.5, and Google's Gemini 3.1 Pro, while offering performance close to Opus 4.8. The model demonstrates significant improvements over its predecessor, Sonnet 4.6, in reasoning, tool use, software coding, and knowledge work, scoring 63.2% on agentic coding. Sonnet 5 also exhibits a lower rate of undesirable behaviors and improved safety against malicious requests and prompt-injection attacks compared to Sonnet 4.6.
Key takeaway
For AI Engineers evaluating agentic models, Sonnet 5 provides a cost-effective option for deploying autonomous workflows. You should consider its \$2/\$10 per million token pricing and improved agentic performance over Sonnet 4.6 for tasks like coding and knowledge work. This allows you to achieve near-Opus 4.8 capabilities at a significantly lower cost, while also benefiting from enhanced safety against prompt injection and malicious requests.
Key insights
Agentic capability is now a baseline expectation for foundation models, with cost and reliability becoming key differentiators.
Principles
- Agentic capability is a standard feature across AI model price points.
- Cost-efficiency and reliability without human oversight are primary competitive factors.
- Models can self-correct and complete multi-step tasks autonomously.
In practice
- Deploy Sonnet 5 for multi-step automation tasks.
- Balance cost and performance between Sonnet 5 and Opus 4.8.
- Utilize Sonnet 5 for improved safety against prompt injection.
Topics
- Anthropic Claude Sonnet 5
- Agentic AI
- LLM Pricing
- AI Safety
- Model Benchmarking
- Autonomous Agents
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.