freycreate
By Anthropic·February 17, 2026

Claude Sonnet 4.6

Anthropic (San Francisco, USA) — Claude's Sonnet family is THE reasoning and tool-use LLM. Version 4.6 with 1 million token context powers our workflows: sub-agents, Story and Slate Director, spot engines.

Context Window1M tokens
Used forWorkflows · Plan · Slate
Input-Preis$3 / 1M Tokens
Output-Preis$15 / 1M Tokens
ProviderAnthropic
ReleaseFeb 2026

Strengths

Deep Reasoning

Stärkstes Modell der Branche für mehrstufiges Denken, Strategie-Planung und nuancierte Entscheidungen. Schlägt GPT-4o regelmäßig in Bench-Tests für komplexe Tasks.

1 million token context

Long codebases, full brand bibles, multiple sessions memory — all in one prompt. Anthropic expanded Claude Sonnet 4.6 from 200k to 1M tokens. Ideal for our multi-step workflows with massive brand context.

Kreatives Schreiben

Stark in Werbe-Texten, Story-Scripts, Voiceover-Drafts und Brand-Tonality. Anthropic trainiert Sonnet explizit auf nuancierte Sprach-Outputs.

Robuste Tool-Calls

Function-Calling und Sub-Agent-Delegation sehr stabil. Daher ideal als Orchestrator für Multi-Step-Workflows in unserem Slate-Director.

Best for

Workflow orchestration with sub-agents

Story-Scripts und Werbespot-Konzepte

Slate-Director (Multi-Step Video-Briefing)

Code- und Tool-Aufrufe mit hohem Kontextbedarf

Brand context across multi-step workflows

Not its strong suit

Keine eigene Bild-/Video-Generierung — delegiert an Spezial-Modelle

Langsamer als Haiku-Familie bei einfachen Tasks

Technical details

Architecture

Anthropic was founded in San Francisco in 2021 by ex-OpenAI co-founders (Dario and Daniela Amodei). Sonnet is the mid-tier Claude model (between Haiku and Opus), further optimised in 4.6 for tool use, long context and reasoning. On freycreate it primarily powers the workflows: Slate Director, spot and explainer engines, multi-step planning tasks. The chat agent runs on Gemini.

Key features

  • 200k Token Context Window
  • Native Tool-Calling und Sub-Agent-Delegation
  • Multi-Lingual mit starker DE/EN-Performance
  • Streaming-Output für UI-Responsiveness
  • Vision-Input für Brand-Reference-Analyse
  • Use from Claude Code, Cursor and Codex via freycreate MCP
Use directly from AI agents (MCP)

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