Claude.
Frontier reasoning and long-context model used across agentic workflows.
What it is.
Anthropic's frontier model family. Built around long context, careful reasoning, and a constitutional safety stack. Opus 4.7 leads on agent benchmarks; Sonnet 4.6 carries the volume of production workloads; Haiku 4.5 fills the latency-sensitive niche. Available through Anthropic, AWS Bedrock, and Google Vertex.
Where it fits.
Where the task rewards reasoning over speed and where the buyer wants a model that can be pointed at high-stakes work. Fortune 500 legal, financial-services, and engineering teams treat Claude as the default for agentic workflows that touch regulated data.
- Best-in-class long-context recall up to 1M tokens
- Tool-use and Skills API maturity ahead of peers
- Constitutional approach reduces jailbreak and regulatory exposure
- Higher latency than GPT-5 Mini in same price tier
- No native image, video, or audio generation
Frequently asked.
How does Claude compare to GPT-5?
Claude leads on reasoning and long-context; GPT-5 leads on tool breadth and price tiers. Most Fortune 500 stacks now run both, routed by task class.
Can Claude be deployed on-premises?
Not directly. Anthropic offers Claude on AWS Bedrock and Google Vertex inside customer VPCs, which most regulated buyers accept as a substitute.
What is the practical context limit?
Sonnet 4.6 supports 1M tokens; Opus 4.7 supports 200K. Retrieval quality drops past 400K, which is why production stacks still chunk and re-retrieve.
