The most agentic Sonnet model to date — performance close to Opus 4.8 at a lower price. Released June 30, 2026; 1M-token context; API identifier: claude-sonnet-5.
Context window
1 mln (1M) tokenów (kontekst rodziny Sonnet od wersji 4)
tokens
Parameters
Niepublikowane przez Anthropic (firma nie ujawnia liczby parametrów modeli Claude).
parameters
Max output
64,000
tokens
Release date
30 June 2026
Access:APIHostedDeployment:☁ Cloud
Overview
Applications
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
📏 Context: 1 mln (1M) tokenów (kontekst rodziny Sonnet od wersji 4)
🧩 Parameters: Niepublikowane przez Anthropic (firma nie ujawnia liczby parametrów modeli Claude).
✓ Tools
📥 Input: text, image, documents
Technical specification
Context window
1 mln (1M) tokenów (kontekst rodziny Sonnet od wersji 4)
tokens
Parameters
Niepublikowane przez Anthropic (firma nie ujawnia liczby parametrów modeli Claude).
parameters
Max output tokens
64,000
tokens per response
Knowledge cutoff
1 Jul 2025
Knowledge boundary
License
Proprietary — dostęp przez Claude API, claude.ai i partnerów chmurowych (AWS, GCP, Azure/Microsoft Foundry).
Hardware requirements
Available exclusively via Anthropic's cloud API; no self-hosting. Inference runs on Anthropic's own infrastructure and on partner clouds: AWS (Trainium/Inferentia + Bedrock), Google Cloud (TPU/Vertex), Microsoft Foundry (Azure).
Features:✓ Tool use
Modalities
⬇ Input
textimagedocuments
⬆ Output
textcodestructured_data
Capabilities and applications
Native model capabilities
Coding
Generating, analysing and modifying source code.
Category: coding
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Agentic capability
The model's ability to autonomously plan and execute multi-step tasks by sequentially using tools, maintaining context, and adapting to intermediate results.
Category: planning
Function Calling
Category: planning
Long context
Maintaining coherence and focus across very long input context.
Category: language
Multi-step reasoning
Carrying out multi-step chains of reasoning across long, complex tasks.
Category: reasoning
Computer use
The model's ability to operate a computer interface by interpreting screenshots and generating actions such as clicks, typing, and navigating applications.
Category: planning
Planning
Forming and executing action plans for complex tasks.
Category: planning
Structured output
Producing data in structured formats such as JSON.
Category: structured_generation
Language modeling
Ability to predict subsequent tokens and generate coherent natural-language text based on the preceding context.
Category: language
Multilingual
Understanding and generating text in many languages.
Category: language
Vision encoder
The model's ability to encode images and video frames into dense representations (embeddings), used for downstream tasks or as a backbone for vision-language models.
Category: vision
Image understanding
Analysing and interpreting the content of images.
Category: vision
Application domains
Technical architecture
Core Architecture
