Claude Models: Current Lineup, Defaults and Which to Use

Compare current Claude models, API IDs, limits, app and Code defaults, platform access and retirement dates. Choose by capability, speed and effort.

Published

Claude Models: Current Lineup, Defaults and Which to Use

For most API workloads, Anthropic recommends Claude Opus 5.5; for everyday work in the Claude apps, its learning guide points to Claude Sonnet 5.5. The current Claude models share a standard context window of 1M tokens, so capacity alone will not tell you which one fits your work.

Verified against Anthropic's live documentation on 25 October 2026. Claude is Anthropic's family of AI models, available through its apps and through services developers connect to their own software. The practical choices are Claude Fable 5.1 for demanding, extended work; Opus 5.5 for complex coding and knowledge work; Sonnet 5.5 for responsive everyday collaboration; and Claude Haiku 5.5 for high-volume, time-sensitive tasks. Claude Mythos 5.1 has restricted access. Model overview, API selection guide, Claude Academy's app guide.

Claude Models Comparison: The Current Lineup

Choose the workload first, then check that your account and platform offer the model. The following table preserves Anthropic's model names, API identifiers, standard limits and role descriptions. The Mythos description is an access condition because it shares Fable's capabilities.

ModelClaude API IDAnthropic's role or access wordingContext windowMax outputWhere it runs
Claude Fable 5.1claude-fable-5-1For demanding reasoning and long-horizon agentic work1M tokens128K tokensClaude apps; Claude Code; Claude API; Amazon Bedrock; Claude Models on Google Cloud (Google managed); Microsoft Foundry; Claude Platform on AWS; Claude Models on Google Cloud (Anthropic managed)
Claude Opus 5.5claude-opus-5-5For long-running agentic coding and knowledge work1M tokens128K tokensClaude apps; Claude Code; Claude API; Amazon Bedrock; Claude Models on Google Cloud (Google managed); Microsoft Foundry; Claude Platform on AWS; Claude Models on Google Cloud (Anthropic managed)
Claude Sonnet 5.5claude-sonnet-5-5The best combination of speed and intelligence1M tokens128K tokensClaude apps; Claude Code; Claude API; Amazon Bedrock; Claude Models on Google Cloud (Google managed); Microsoft Foundry; Claude Platform on AWS; Claude Models on Google Cloud (Anthropic managed)
Claude Haiku 5.5claude-haiku-5-5For high-volume, latency-sensitive tasks such as classification, extraction, and routing1M tokens128K tokensClaude apps; Claude Code; Claude API; Amazon Bedrock; Claude Models on Google Cloud (Google managed); Microsoft Foundry; Claude Platform on AWS; Claude Models on Google Cloud (Anthropic managed)
Claude Mythos 5.1claude-mythos-5-1Available only to organizations verified through Anthropic's verification programs1M tokens128K tokensRestricted access: Claude API; Amazon Bedrock; Claude Models on Google Cloud (Google managed); Microsoft Foundry. Ordinary Claude apps and Claude Code access are not listed on its model page.

The model pages supply the developer-platform listings. App availability is subject to plan and organization permissions; the app model menu and Claude Code's supported-model list confirm the public models on those surfaces. The table's context and output columns are model specifications, not a promise about a subscription's usage allowance.

Mythos 5.1 is for vetted organizations. Anthropic says it has the same capabilities and specifications as Fable 5.1, with access through its verification programs, including the Cyber Verification Program. An API identifier in a table does not grant access: an organization must apply through the program covering its use case. For an ordinary founder or builder, Fable is the generally available option to evaluate for this level of work. Mythos model documentation. Our Claude Mythos explainer covers access in more detail.

Which Model Is the Default in Claude Apps and Claude Code?

The app recommendation, the model selected in your account and Claude Code's runtime default are different things. This distinction prevents a common purchasing and rollout mistake: assuming every employee or integration starts on the same model.

Claude Apps: Sonnet for Everyday Work, With Saved-Choice and Admin Overrides

Claude Sonnet 5.5 is the everyday starting recommendation in Claude Academy. Use it as the starting point for daily work. Your next chat can open on a different model because of a remembered choice or organization policy.

Anthropic documents remembered model selections and, for Enterprise, organization or role defaults that can replace them. Administrators can also require each new conversation to start on a chosen model and effort level. Check the name beside the send button to see what your chat will actually use. Default-model behavior.

For a concrete exception, Enterprise's optional efficient mode in the unified Claude experience starts sessions on Sonnet 5.5 at low effort and restricts selection to Sonnet and Haiku. Enterprise configuration.

Claude's official product page showing the app experience
Claude

Claude Code: Opus 5.5, With a Microsoft Foundry Exception

Claude Code, Anthropic's coding assistant, documents these account-type defaults:

  • Opus 5.5: Pro, Max, Team, Enterprise and the Anthropic API; also Claude Platform on AWS, Amazon Bedrock and Google Cloud's Agent Platform.
  • Sonnet 4.5: Microsoft Foundry.

Those are defaults in the absence of a saved selection, organization default or another applicable override. Fable is not the account-type default on any provider. The opus, sonnet and haiku aliases resolve to the latest models on the Anthropic API, but can resolve to older versions elsewhere. Claude Code model configuration.

Use /model to select a model and /status to inspect the current one. A developer who needs a reproducible starting point can launch with claude --model claude-opus-5-5, subject to provider support. Selection commands.

Anthropic's Claude Code model configuration documentation
Claude Code

Claude Models Explained: Capability, Speed and Effort

Choose on the task's failure conditions, then tune how much work the model does. Anthropic names capability, speed, cost and effort as the selection criteria. Its developer guide offers an efficiency-first route starting with Haiku 5.5, and a capability-first route starting with Opus 5.5. If demanding work still fails your evaluations at xhigh or max effort, consider Fable 5.1. Choosing a model.

Anthropic labels Haiku Fastest, Sonnet Fast, Opus Moderate and Fable Slower for comparative latency. These are relative labels, not response-time guarantees. Latency comparison. For routine intake classification or extraction, begin with Haiku and move up when it misses a requirement; reserving the larger model for difficult cases is a useful workflow to evaluate.

An evaluation is a repeatable check using work you recognize and an explicit definition of success. For an operator classifying incoming requests, success might mean assigning the correct destination and escalating ambiguous cases. For a founder reviewing a strategic analysis, it might mean preserving the source evidence and flagging conflicting assumptions. These are different acceptance tests even if both tasks arrive as text.

Think of the model as the person you assign and effort as the time you let them spend investigating. Raising effort can improve a difficult answer, but it also increases waiting time and token use. It does not give a model a feature it lacks.

The API effort defaults are high for Fable 5.1 and Sonnet 5.5, and medium for Opus 5.5 and Haiku 5.5. Model specifications. Keep the surface attached to that statement: Anthropic's Sonnet announcement sets Medium as its app and Claude Code default effort, while the Claude Platform uses High. Sonnet 5.5 announcement.

For well-specified Sonnet coding and tool tasks, Anthropic recommends starting at medium, moving higher for harder work, and using xhigh or max where evaluations show a gain. Effort guidance. Record the model and effort together when comparing results; otherwise you cannot tell which change helped.

Clay library decision path from Opus to testing, keeping a passing result, or tuning effort before escalating to Fable after another failed evaluation
Capability-first selection: evaluate Opus, tune effort, and escalate only when the task still falls short.

Best Claude Model for Coding

Start with Opus 5.5 for a complex coding assignment; choose Sonnet 5.5 for well-scoped work where rapid feedback matters. Anthropic positions Opus for extended agentic coding, meaning work where the model plans and uses tools over multiple steps. Sonnet's role combines speed with everyday coding capability. Opus specifications, Sonnet announcement.

For a solo builder fixing a known bug, Sonnet is a sensible starting experiment. For a CTO asking an agent to trace an architectural problem across a repository, start with Opus and judge whether its proposed change survives the project's checks. Move to Fable when the work is unusually extended or your Opus evaluations still reveal consequential gaps. The deeper Claude Opus vs Sonnet comparison explains that boundary.

Best Claude Model for Writing

Sonnet 5.5 is the practical starting point for everyday writing and revision. Anthropic describes it as strong at well-scoped work and producing documents, slides and spreadsheets. Sonnet announcement.

An operator turning an approved brief into an internal announcement should judge factual fidelity, tone and editing effort. A longer response is not automatically a better draft. For simple extraction or a short summary, include Haiku in the evaluation; for writing that depends on difficult analysis, evaluate Opus. Our Claude Haiku vs Sonnet guide develops the everyday-work choice.

Which Claude Model Is Best for Research?

Use Opus for difficult research you will steer interactively; consider Fable for an extended assignment with a finished deliverable. This follows Anthropic's app guidance: Opus fits complex back-and-forth analysis, while Fable fits long tasks with connected steps and fewer check-ins. Claude Academy.

A founder investigating a new market might want to challenge an assumption after every answer. A delegated research assignment might instead specify the source requirements, questions to resolve and final memo. The latter is a better reason to evaluate Fable than simply wanting the highest model name. Read Claude Fable 5.1 explained before designing that handoff.

What the Context and Output Limits Mean

A context window is working space; maximum output is a ceiling on what the model generates. Tokens are the units a model processes, rather than a fixed number of words. Think of context as the reading table holding your instructions, conversation and source material, with room needed for the response. The output limit caps the generated portion. Context-window documentation.

The standard 1M tokens of context and 128K tokens of maximum output in the table do not mean you can request a million-token report. Thinking also counts toward the API's max_tokens budget, even when its content is not returned. Effort documentation.

Anthropic separately documents a Message Batches API beta allowing up to 300k output tokens for Opus 5.5, Sonnet 5.5 and Haiku 5.5 with output-300k-2026-03-24. That is a specific batch feature, not the standard max-output entry or a promise about chat replies. Opus, Sonnet, Haiku.

A clay library desk labeled Context with 1M tokens beside a finished book labeled Output with 128K tokens
The standard context and output limits describe different parts of the request. Output still needs room within context.

For a mid-market operator, the consequence is practical: a model accepting a document collection does not establish that it has extracted every important relationship. Require citations to the source material and review the conclusions that drive a decision. App usage allowances are a separate constraint from these model limits. Usage and length limits.

Where the Models Run

A platform listing establishes a supported route, not your account's permission to use it. Check the deployment and model ID your application actually sends before diagnosing a missing model as a capability problem.

Bedrock Claude Models

Amazon Bedrock lists the current models with identifiers such as anthropic.claude-opus-5-5, including anthropic.claude-mythos-5-1 with verification required. Its access criteria are model-specific. Use the Bedrock ID from Anthropic's table when configuring that route; do not assume the bare Claude API ID is interchangeable in every integration. Claude on Amazon Bedrock.

Vertex AI Claude Models

Anthropic's current documentation labels this route Claude Models on Google Cloud (Google managed) and documents the AnthropicVertex client against an Agent Platform endpoint. Its current model table lists IDs such as claude-opus-5-5, with Mythos access marked limited. Keep the current platform name when recording a deployment, even if your team still calls the integration Vertex AI. Google-managed Claude documentation.

The model overview also distinguishes Anthropic-managed Google Cloud access and Claude Platform on AWS, and lists Microsoft Foundry separately. For a buyer, naming the operator of the service matters because lifecycle schedules can differ. Platform listings.

Older Claude Models: Deprecation and Retirement Dates

Move a deprecated deployment before its retirement date; do not treat every older model as already retired. Anthropic labels supported models Active, models without further updates Legacy, functioning models scheduled for withdrawal Deprecated, and unavailable models Retired. Requests to retired models fail. The following dates are copied from the current deprecations page.

Model or API IDStatusDeprecatedRetirement date
Claude Sonnet 4.5, claude-sonnet-4-5-20250929DeprecatedSeptember 30, 2026November 30, 2026
Claude Mythos Preview, claude-mythos-previewDeprecatedJune 9, 2026To be announced
Claude Opus 4.1, claude-opus-4-1-20250805RetiredJune 5, 2026August 5, 2026
Claude Opus 4, claude-opus-4-20250514; Claude Sonnet 4, claude-sonnet-4-20250514RetiredApril 14, 2026June 15, 2026
Claude Haiku 3, claude-3-haiku-20240307RetiredFebruary 19, 2026April 20, 2026
Claude Haiku 3.5, claude-3-5-haiku-20241022RetiredDecember 19, 2025February 19, 2026
Claude Sonnet 3.7, claude-3-7-sonnet-20250219RetiredOctober 28, 2025February 19, 2026
Claude Sonnet 3.5, claude-3-5-sonnet-20240620 and claude-3-5-sonnet-20241022RetiredAugust 13, 2025October 28, 2025
Claude Opus 3, claude-3-opus-20240229RetiredJune 30, 2025January 5, 2026
Claude 2, claude-2.0; Claude 2.1, claude-2.1; Claude Sonnet 3, claude-3-sonnet-20240229RetiredJanuary 21, 2025July 21, 2025
Claude 1: claude-1.0, claude-1.1, claude-1.2, claude-1.3; Claude Instant: claude-instant-1.0, claude-instant-1.1, claude-instant-1.2RetiredSeptember 4, 2024November 6, 2024

Anthropic recommends claude-sonnet-5-5 as the replacement for the deprecated Sonnet 4.5 API model. That makes it a migration priority for a builder still calling the older ID. Recommended replacement.

Older Models That Remain Active

The same status table still lists these earlier models as Active, with deprecation shown as N/A. Their retirement field is explicitly “Not sooner than”, followed by these dates:

  • Claude Fable 5 and Claude Mythos 5: June 9, 2027. Claude Opus 5: July 24, 2027. Claude Sonnet 5: June 30, 2027.
  • Claude Opus 4.8: May 28, 2027. Claude Opus 4.7: April 16, 2027. Claude Opus 4.6: February 5, 2027. Claude Sonnet 4.6: February 17, 2027.
  • Claude Opus 4.5: November 24, 2026. Claude Haiku 4.5: October 15, 2026.

A lower-bound date is not an announced shutdown. In particular, Haiku 4.5 remains Active in the API table even though its listed earliest-retirement bound has passed. Current model status.

App removal is another separate event: Anthropic says Haiku 4.5 leaves the Free, Pro and Max app model selectors on October 29, 2026, replaced by Haiku 5.5. That change does not affect Claude Code, Team, Enterprise or the API. App-selector notice.

What's Overhyped About Choosing a Model

The biggest model name does not settle the deployment decision. A founder needs an answer that survives review; an operator needs predictable handling of routine cases; a builder needs an integration that keeps working.

The specification table also does not make an upgrade a one-line substitution. Opus 5.5 cannot disable thinking. Sonnet 5.5 uses between_tools to turn off up-front thinking instead of accepting disabled. Both reject forced tool-use settings, and both change how text between tool calls reaches your application. Opus migration changes, Sonnet migration changes.

For a production agent, the relevant question is whether its tools, progress messages and failure handling still work. A higher model tier cannot repair a request your integration sends incorrectly. Keep a working deployment while you validate its replacement; accelerate that work when its current model has a retirement deadline.

Your Monday Move

Record the model, provider and effort used by a workflow that matters, then evaluate a deliberate alternative. Make the decision from completed work.

  1. Inspect the current selection

    In Claude, read the model beside the send button. In Claude Code, check /status. In an API application, inspect its configured model ID and provider.

  2. Define a passing result

    Choose a representative task with an answer you can assess. Include an ambiguous case and specify what should trigger human review. A useful acceptance rule beats a preference for longer answers.

  3. Change one variable

    Compare a model at its starting effort, then tune effort if needed. Keep the prompts and source material consistent. For an existing agent, verify its tool calls and progress reporting before rollout.

  4. Act on the result

    Adopt when the alternative clears your acceptance criteria. Wait when the current active model meets the need and the replacement has not been validated. Prioritize migration when the current ID is deprecated.

Frequently Asked Questions

What are the different AI models?

Within Claude, the public choices are the Haiku, Sonnet, Opus and Fable families. Each serves a different balance of responsiveness and capability. Mythos has restricted organizational access; the current versions and IDs are in the table above.

Is Claude better than GPT-4?

A brand-wide verdict will not tell you whether a particular Claude model meets your requirements. Use the actual task, required features and acceptable errors to evaluate a candidate. This guide compares choices within Claude.

What kind of models does Claude have?

The current models accept text and images and produce text, with vision, multilingual capabilities and tool use. The family name identifies the model line; the API ID identifies the model your integration requests. Model overview.

How much are Claude models?

See our Claude API pricing guide for the current rates and usage examples.

Is there any model better than Claude?

There is no useful universal answer without a defined job and success criteria. For this decision, measure whether the chosen model handles your normal work and difficult exceptions, and whether its response time fits the workflow.

Can I use Claude models for free?

Yes. Anthropic's learning guide says Claude Free includes Haiku and Sonnet; Opus and Fable require access through paid plans. Availability in an app does not establish access to every developer platform. Claude Academy.

How long can we use Claude for free?

There is no fixed conversation duration to promise. Usage depends on factors such as message and file size, conversation length, the model and features used. Read the account's limit notice rather than planning around an assumed number of messages. Usage limits.

What models come with Claude Free?

Haiku and Sonnet are the included families in Anthropic's current learning guide. Their current versions are Haiku 5.5 and Sonnet 5.5; use the model menu to see the choices available to your account. Claude Academy, model menu.

Can I run Claude models locally for free?

The documented routes for these models are hosted apps and services. Running a client such as Claude Code on your computer is different from running the model itself on local hardware. The model pages above do not offer downloadable model weights. Deployment options.

Join the newsletter for practical guides to choosing and using AI at work.

Published
Category
AI
Related Articles
Claude Mythos Explained: Access and Agent Safety

Claude Mythos Explained: Access and Agent Safety

What Claude Mythos is, who can access Mythos 5.1, and what Anthropic and AISI's findings mean for agents your business already runs.Oct 25, 2026AI
AI Native Company: What It Means and How It Works

AI Native Company: What It Means and How It Works

What makes a company AI-native? Understand team design, agent workflows, delivery economics and evaluation, then assess your own business.Oct 25, 2026AI
Prompt Templates: Six Reusable Examples for Business Teams

Prompt Templates: Six Reusable Examples for Business Teams

Six worked prompt templates for recurring business jobs, with clear variables, fixed outputs, testing steps and practical ways to share them.Oct 25, 2026AI
Types of AI Agents: Two Maps for Business

Types of AI Agents: Two Maps for Business

Learn five textbook AI agent types and seven business categories, with product examples, control boundaries, typical failures and adoption rules.Oct 25, 2026AI
ChatGPT Watermark: What textGrain Means for Your Documents

ChatGPT Watermark: What textGrain Means for Your Documents

Does ChatGPT watermark text? See where textGrain applies, who can detect it, and what it means for company documents and client work.Oct 24, 2026AI
Kimi K3.1 Pro: What Changes and Who Should Switch

Kimi K3.1 Pro: What Changes and Who Should Switch

Kimi K3.1 Pro explained: what changed from K3, where it runs, what the benchmarks establish, and when a work trial justifies switching.Oct 24, 2026AI
AI ROI: How to Measure Costs, Savings and Payback

AI ROI: How to Measure Costs, Savings and Payback

Measure AI ROI with a workflow baseline, full costs and payback. A worked support example separates cash saved from staff capacity.Oct 24, 2026AI
Reclaim AI Review

Reclaim AI Review

Can Reclaim protect focus and habits on a meeting-heavy calendar? Current features, limits, mobile access and a practical team pilot verdict.Oct 24, 2026AI
Newsletter

One letter, every Sunday.Working systems, not hot takes.

Weekly. No spam. Unsubscribe anytime.