Meet Claude 3.7 Sonnet: Anthropic’s Most Intelligent Foundation Model

With long-context understanding and enterprise-grade safety, Claude 3.7 Sonnet sets a new standard for practical AI in coding, reasoning, and agentic workflows.

Trusted by users from 10,000+ companies

Claude 3.7 Sonnet Benchmarks that Matter

Claude 3.7 Sonnet brings steadier reasoning, cleaner code, and a calmer experience to complex work.

Multilingual Zero-Shot Consistency

Multilingual Zero-Shot Consistency

In zero-shot chain-of-thought evaluations across languages, Claude 3.7 Sonnet achieves approximately 97.6% of its English benchmark when handling Spanish. This means high-quality reasoning and responses in non-English contexts with minimal drop-off.

Legal & Governance Reasoning Accuracy

Legal & Governance Reasoning Accuracy

On the corporate governance reasoning benchmark (CHANCERY), Claude 3.7 Sonnet achieved around 64.5% accuracy in determining consistency of actions against charter rules. This shows ability to reason about structured and domain-specific rules.

Developer-grade Coding

Developer-grade Coding

With stronger refactoring and multi-file awareness, Claude 3.7 Sonnet coding feels less like autocomplete and more like a patient pair‑programmer. It also adheres to schemas and structured output for reliable tool-calling and automation pipelines.

Control in Your Hands

Claude 3.7 Sonnet offers a configurable “thinking budget” that allows users to dictate how many tokens the model allocates to internal reasoning before producing a final answer.

Control in Your Hands

Set Your Own Standards

You’ll drive tasks by calling tools as needed, giving clear inputs, and breaking down actions into reversible steps. At each stage, the system thinks, records action and reasons, and commits to results based on what works.

Set Your Own Standards

Tackle Your Biggest Workloads

With support for input contexts up to 200,000 tokens, Claude 3.7 Sonnet can ingest vast amounts of data. This means document repositories or multi-file codebases are treated as a cohesive whole rather than fragmented pieces.

Tackle Your Biggest Workloads

Claude 3.7 Sonnet Raises the Bar

Whether you’re brainstorming, coding, analyzing, or automating, Claude 3.7 Sonnet brings powerful capabilities that many general-purpose models don’t.

Advanced Instruction-Following

Advanced Instruction-Following

Claude 3.7 Sonnet demonstrates ~93 % accuracy in instruction-following tasks, showing a strong ability to execute multi-step commands reliably.

Multimodal Input Handling

Multimodal Input Handling

It accepts both text and images (e.g., diagrams, scans), enabling workflows that integrate visual context alongside written content.

Substantial Output Capacity

Substantial Output Capacity

Compared with the previous version, Claude 3.7 supports significantly longer outputs, which is ideal for detailed reports, code, or multi-part summaries.

Seamless Developer Workflow Integration

Seamless Developer Workflow Integration

With the companion tool Claude Code, the model can edit files, run tests, and integrate with engineering workflows.

Broad Platform Availability

Broad Platform Availability

Claude 3.7 Sonnet is available via web app, API, and on major cloud platforms (e.g., AWS Bedrock, Google Vertex AI), making deployment flexible.

Privacy‑first compliance controls

Privacy‑first compliance controls

Ships with granular data controls, redaction hooks, and regional isolation options to meet privacy, residency, and compliance requirements.

Balanced Speed and Depth Modes

Balanced Speed and Depth Modes

Users can toggle between “standard mode” for fast responses and “extended thinking mode” for deeper reasoning tasks.

Improved Contextual Understanding

Improved Contextual Understanding

The model achieves higher coherence across longer conversations or documents, reducing context loss and fragmentation.

Multilingual Fluency

Multilingual Fluency

Understands and produces high‑quality text across major languages and domains, maintaining nuance, idiom, and terminology under production constraints.

Frequently Asked Questions

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