Claude Model Selection Guide: Opus, Sonnet, and Effort Controls
Answer in brief
Claude Model Selection Guide: Opus, Sonnet, and Effort Controls explains choosing a Claude model and effort level from task risk, context size, latency, and review requirements. It is a practical guide that records evidence and verifies the result without inventing model IDs, prices, limits, or availability that the official sources do not state.
Key facts at a glance
| Product / model | Current ID or version | Use / caution | Evidence |
|---|---|---|---|
| Anthropic Claude Fable 5 | claude-fable-5 |
long-running agents | Official source |
| Anthropic Claude Opus 5 | claude-opus-5 |
complex agentic coding | Official source |
| Anthropic Claude Sonnet 5 | claude-sonnet-5 |
speed and intelligence balance | Official source |
Scope and assumptions
choosing a Claude model and effort level from task risk, context size, latency, and review requirements
This guide connects public official evidence to a reproducible verification procedure. Account state, plans, regions, and experimental features can change, so separate fixed facts from values that must be confirmed at execution time.
Execution workflow
- Fix the objective, input boundary, expected artifact, acceptance criteria, and stop condition in one short brief.
- Check account, permissions, model, and endpoint details in the linked official documentation; grant only the minimum access.
- Run a small deterministic fixture and record request state, citations, artifact presence, and errors without sensitive data.
- Compare the result with the requirements; do not treat missing, refused, incomplete, or stale-evidence output as success.
- Record the verification date and sources before widening scope or approving an external side effect.
Service-specific checkpoints
- Record the current claude product surface separately from the workflow scope in this guide.
- Pin an exact model ID only when the documentation publishes one; otherwise do not infer an ID.
- Limit retries to read-only or idempotent work; require human approval before sending, publishing, or changing files.
- Keep citations, logs, and artifact traceability while excluding keys, tokens, and personal data.
Failure modes and responses
| Failure | Response |
|---|---|
| Stale model or feature information | Recheck the linked official source and record the verification date. |
| Task scope is too broad | Split inputs and artifacts into smaller steps with an acceptance check for each. |
| Plausible but unverified output | Hold the result until requirements, fixture, citations, and artifacts all pass. |
| Unexpected side effect | Apply the approval boundary and stop condition, then reproduce through a read-only path. |
FAQ
What is Claude Model Selection Guide: Opus, Sonnet, and Effort Controls useful for?
Claude Model Selection Guide: Opus, Sonnet, and Effort Controls explains choosing a Claude model and effort level from task risk, context size, latency, and review requirements. It is a practical guide that records evidence and verifies the result without inventing model IDs, prices, limits, or availability that the official sources do not state. Apply it only within the scope described by the official documentation, and recheck plan, region, and account differences before execution.
How should the current claude model or feature be checked?
The model and feature table on this page is based on the linked official sources. Do not infer model IDs, prices, limits, or availability when the source does not state them.
What should be prepared before using Claude Model Selection Guide: Opus, Sonnet, and Effort Controls?
Fix the objective, input boundary, permissions, expected artifact, acceptance criteria, and stop condition first. Keep secrets and personal data out of task logs, and begin with a small fixture.
How should a claude result be verified?
Compare the result with the original requirements and a deterministic fixture, then check citations, model IDs, versions, and artifact presence. Plausible but unverified output is not success.
What failures are common in claude workflows?
Stale product information, broad task scope, excessive permissions, and unclear completion criteria are common failure causes. Use small steps, explicit approval, and reproducible checks to isolate them.
Sources and freshness
- Official source
- Last verified: 2026-08-22
Practical checklist
- Objective, input, artifact, and stop condition are fixed.
- Official sources and the last verification date are recorded.
- Model IDs and capability claims stay within the documented scope.
- Deterministic fixtures and failure paths are exercised.
- Human approval is present before external side effects.
Evidence refresh
The model and feature records below are rechecked against the linked official sources. If availability changes, update this table and the verification date together.
| Product / model | Current ID or version | Use / caution | Evidence |
|---|---|---|---|
| Anthropic Claude Fable 5 | claude-fable-5 |
long-running agents | Official source |
| Anthropic Claude Opus 5 | claude-opus-5 |
complex agentic coding | Official source |
| Anthropic Claude Sonnet 5 | claude-sonnet-5 |
speed and intelligence balance | Official source |
Sources
- Official source
- Last verified: 2026-08-22
Evidence and freshness
Last verified:
Primary sources
Verified model records
- Anthropic · Claude Fable 5 · claude-fable-5 — long-running agents
- Anthropic · Claude Opus 5 · claude-opus-5 — complex agentic coding
- Anthropic · Claude Sonnet 5 · claude-sonnet-5 — speed and intelligence balance