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Claude Sonnet 4.6

Claude Sonnet 4.6 is an advanced AI model suited for demanding production workloads, developed by Anthropic and released in February 2026. It is a proprietary closed-weight model, available through the Anthropic API. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

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Claude Sonnet 4.6 was released on February 17, 2026 as the mid-tier model in the Claude 4 generation, positioned between the Opus series and the Haiku line in both capability and price. The Sonnet tier has historically offered the best price-to-performance ratio in Anthropic’s lineup — capable enough for the vast majority of coding and reasoning tasks at roughly one-fifth of Opus pricing. It supports the same 1M-token context window as the Opus models.
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Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Advanced peers on the same scale
  • Claude Sonnet 4.6this model
  • Mistral Large 4this model leads on 0 of 4
  • GPT-6 Lunathis model leads on 1 of 4
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

Claude Sonnet 4.6 30.1 Mistral Large 4 38.4 GPT-6 Luna 38.1
#28of 45 Verified
Coding

DeepSWE

113 long-horizon software tasks written from scratch, graded by hidden tests.

Source ↗

Claude Sonnet 4.6 29.9% Mistral Large 4 61.7% GPT-6 Luna No score
#16of 17 Verified

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗Also: Self-reported 79.6%

Claude Sonnet 4.6 77.4% Mistral Large 4 No score GPT-6 Luna No score
#16of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

Claude Sonnet 4.6 3.0% Mistral Large 4 26.8% GPT-6 Luna 12.6%
#26of 36 Verified
Reasoning

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗Also: Self-reported 34.6% (no tools, re-graded in Sonnet 5 post (launch blog number differed))

Claude Sonnet 4.6 33.6% Mistral Large 4 35.0% GPT-6 Luna 38.5%
#32of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 85.6% (Vals AI own implementation)

Claude Sonnet 4.6 87.5% Mistral Large 4 No score GPT-6 Luna No score
#25of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

Claude Sonnet 4.6 60.4% Mistral Large 4 No score GPT-6 Luna 59.3%
#19of 27 Verified

What to Use Claude Sonnet 4.6 For

Software Engineering

It resolves real GitHub issues, writes production-quality code across multiple languages, and handles multi-step agentic coding workflows — a strong choice for AI-assisted software development teams.

Long-Document & Codebase Analysis

With a 1M-token context window, Claude Sonnet 4.6 can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.

Strengths and limitations

Strengths

  • Strong software engineering
  • Novel visual reasoning
  • Advanced mathematics
  • Very long documents and large codebases (1M context)

Limitations

  • Closed-weight — cannot be self-hosted or fine-tuned on private data

Use it in FlowHunt

Use Claude Sonnet 4.6 in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick Claude Sonnet 4.6 in the model selector

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About Anthropic San Francisco, CA · Founded 2021 · anthropic.com

Anthropic is an AI safety company founded in 2021 by former OpenAI researchers Dario Amodei and Daniela Amodei, along with a group of colleagues who had led OpenAI's safety and policy teams. The company's stated mission is the responsible development of AI for the long-term benefit of humanity, and its research agenda is defined by that commitment: Constitutional AI (CAI), a technique for training models to be helpful, harmless, and honest through self-critique; mechanistic interpretability, which aims to reverse-engineer what individual neurons and circuits inside large networks actually compute; and scaling science, which tries to predict how model behaviour changes with compute and data. Anthropic publishes this research openly and has become one of the most cited AI safety labs in academic literature. Claude is Anthropic's public model family, named for Claude Shannon, the founder of information theory, and runs from Claude 1 to the Claude 5.5 generation and Claude Fable 5.1. Anthropic operates a commercial API and consumer-facing Claude.ai product, and maintains deep cloud partnerships with AWS (Amazon Bedrock) and Google Cloud (Vertex AI).

anthropic.com ↗

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Frequently asked questions

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