Home / What a language model is, without the jargon
One family of models, a choice between speed and depth
The Claude models, Fable, Opus, Sonnet and Haiku, come out of the same base training and are mainly distinguished by one trade-off: how fast the answer comes against how deep the reasoning goes. Fast models suit short, repeated tasks, deeper ones suit files that need cross checking, and the price follows the same axis.
Claude exists at four model tiers, Fable, Opus, Sonnet and Haiku, each renewed from one generation to the next. All four come out of the same base training and are mainly distinguished by a single setting, the trade-off between how fast the answer comes and how deep the reasoning applied before answering goes.
A common foundation, a different slider
Choosing a model amounts to moving a slider. At one end, a model answers within seconds and suits short, repeated tasks, an acknowledgement of receipt, a rewording, a sort of messages. At the other end, a model takes longer because it chains more reasoning steps before concluding, which matters for a file that needs cross checking or a plan that needs verifying on several points. The documentation published by Anthropic recommends, as of October 24, 2026, starting with Opus 5.5 for most uses, and reserving Fable 5.1 for tasks that call for demanding reasoning or that stretch across many chained steps.
Here are two requests the same volunteer might make on the same day.
Short request: rewrite this welcome message in three warmer sentences.
Long request: compare the twelve quotes received this quarter, flag the most
significant price differences and propose a reasoned ranking.
The first task is handled within seconds by a fast model. The second benefits from being given to a model that takes the time to cross check the figures before concluding.
The price follows the same trade-off
The price charged per million tokens exchanged (a token is roughly a piece of a word) varies strongly from one model to another, and this variation follows exactly the same axis as speed, the deepest model costs the most, the fastest costs the least. The first two figures reproduce these published prices, input then output, with their source and date, rather than copying them here where they would go out of date without anyone noticing.
Sonnet 5.5 and Haiku 5.5 since late September
Claude Sonnet 5.5 (identifier claude-sonnet-5-5) came out on September 28, 2026 and Claude Haiku 5.5 (claude-haiku-5-5) on October 7, 2026. The three figures in this lesson date from October 24, 2026 and cover the four current models; the last one compares them price aside. The Claude Code changelog makes these two models the default Sonnet and Haiku models on the Anthropic API, and the starting recommendation on the Models overview page should be reread on the date you read this.
A deeper model answers better the requests that need several reasoning steps, not every request. The choice of model, covered here, acts on a first lever. The next lesson shows a second one, independent of this one: the order of words within a single message.
The entry price per million tokens exchanged, by model
The output price per million tokens, by model
What sets the four models apart, price aside
| Model | Relative speed | Default effort | Context window | Beyond a 100,000-token prompt |
|---|---|---|---|---|
| Fable 5.1 | Slower | high | 1M tokens | Same price |
| Opus 5.5 | Moderate | medium | 1M tokens | Same price |
| Sonnet 5.5 | Fast | high | 1M tokens | Same price |
| Haiku 5.5 | Fastest | medium | 1M tokens | Higher price |
A volunteer at an association sets up her conversational assistant with the fastest model in the range to prepare, within seconds each, the short replies sent every morning to membership requests received through the association's inbox.
Write in one sentence what this situation establishes, and in one sentence what it does not establish.
What this establishes: This choice pairs a task of short, repeated replies with the model the family presents as the fastest, which matches the use case this tier is recommended for.
What this does not establish: This does not establish that the same model would suit a task requiring long reasoning or several chained steps, a use case for which a deeper model in the same family is recommended.
The three most common miscalibrations
- Too broad The fastest model in the range is just as well suited to tasks requiring several complex reasoning steps.
- Too narrow This choice allows nothing at all to be affirmed, a single use case never being enough to confirm that a model matches its public description.
- Beside the point This choice guarantees that the association's inbox running costs will stay low this month.
- The four current Claude models share the same base training and are really only distinguished by a trade-off between answer speed and depth of reasoning.
- A deeper model does not handle a short task any better, it simply takes longer to come back on a question that did not need it.
- The documentation published by Anthropic recommends starting with Opus 5.5 for most tasks and reserving the deepest model for long reasoning.
- The price charged per million tokens exchanged follows the same axis as speed, and it goes out of date quickly, which is why it should be checked in the dated figure rather than memorised as a fixed number.
- The three figures in the lesson cover the four current models, including Claude Sonnet 5.5 and Claude Haiku 5.5.
Note down on a sheet three tasks you regularly hand to your assistant, then sort each one under speed or under depth using the public description of each model, before changing your settings.
These points depend on an interface or a rule that may have changed since this was written. Check them on your own screen before relying on them.
- The exact price and model names can change, open the Models overview page cited in the references to see the version in force at the time you read this.
Every datable claim in this lesson links here to the public text behind it. A source that does not open proves nothing.
- Pricing consultée le 2026-10-24
- Models overview consultée le 2026-10-24
- Introducing Claude Sonnet 5.5 consultée le 2026-10-24
- Introducing Claude Haiku 5.5 consultée le 2026-10-24
- Claude Code changelog consultée le 2026-10-24