LLM Reference
Anthropic

Anthropic

Researched today
Flagship Q/$D
Quality73.3%
$/M out$4.00

31 models across 13 families · Latest: Claude Fable 5 (2026-06)

Developing safe and ethical AI systems.

CodingRAGAgentsLong contextVisionClassificationJSON / Tool useBusinessHighlight

Anthropic's portfolio covers 21 active models across 13 non-obsolete families, with task labels spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.

Portfolio context: 7 decision-task tags, 21 active tracked models, latest research stamp 2026-06-12.

Use it for

  • Teams evaluating coding, rag, and agents across this lab's releases
  • Readers comparing families before locking a flagship SKU
  • 21 tracked SKUs for migration and pricing follow-ups

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

21

Non-deprecated SKUs linked to this researcher

Active families

13

Non-obsolete families in coverage

Open catalog

0 open

0 OSI source / 0 open weights (0 text-match)

Decision task tags

7

Mapped to the site-wide task taxonomy

Latest dated release

2026-06-09

Claude Fable 5

Freshness

2026-06-12

Researched today

fresh

Information

Founded2021
San Francisco, California, United States

Release cadence

Showing 5 recent dated ships (full timeline below). Latest spotlight: Claude Fable 5 (2026-06-09).

Where this lab wins

  • Coding: 14 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 16 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 16 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 16 tracked models with context-token or InfiniteBench-class signal.

Flagship quality / price signal

Anchor SKU: Claude Haiku 4.5 (best sourced coding Q/$ in this portfolio).

Coding task grade D · benchmark swe-bench-verified score 73.3 · cheapest tracked output from ladder $4.00 per 1M tokens

Anthropic is an American AI company founded in 2021. Developing safe and ethical AI systems. Anthropic ships 13 model families totaling 31 models, with the most recent release Claude Fable 5 in 2026-06. Notable families include Claude Fable, Claude Mythos, and Claude 4.8. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. View official API endpoints, benchmark performance, and coding/agent fit for every Anthropic model.

About

Anthropic is at the forefront of developing safe and interpretable AI systems. Their research on techniques like sparse autoencoders enables a deeper understanding of how AI models connect concepts and handle sensitive topics. For software engineers and SaaS executives, Anthropic's work is crucial for building trustworthy and reliable AI applications that mitigate risks and align with human values.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
Claude Fable 52026-06-091m$10.00$50.00ProprietaryProprietary
Claude Mythos 52026-06-091m$10.00$50.00ProprietaryProprietary
Claude Opus 4.82026-05-281m$5.00$25.00ProprietaryProprietary

Model families

Recent releases

  1. Claude Fable 5- 2026-06-09
  2. Claude Mythos 5- 2026-06-09
  3. Claude Opus 4.8- 2026-05-28
  4. Claude Mythos Preview- 2026-05-01
  5. Claude Opus 4.7- 2026-04-16

FAQ

Who founded Anthropic and when?

Anthropic was founded in 2021 and is associated with San Francisco, California, United States.

What models has Anthropic released?

Anthropic ships 31 models across 13 families: Claude Fable, Claude Mythos, and Claude 4.8.

Is Anthropic's technology open source?

Anthropic's models are proprietary.

Where is Anthropic headquartered?

Anthropic is headquartered in San Francisco, California, United States.

What is Anthropic known for?

Developing safe and ethical AI systems. Its most prominent tracked family is Claude Fable.

How can I access Anthropic's models?

Anthropic's models are available via Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter.

Explore related pages

Last reviewed: 2026-06-12. Data sourced from public lab announcements and provider documentation.