GaneevEcoThe three tiers, in plain terms
Claude's model lineup is organized around a genuine tradeoff between speed, cost, and reasoning depth, and understanding that tradeoff in plain business terms matters more for a good enterprise decision than tracking every specific version number as new releases ship. The three tiers map fairly cleanly onto three different kinds of work most organizations actually have.
- Haiku — the fastest, lowest-cost tier. Built for high-volume, well-scoped tasks: quick lookups, simple summaries, real-time or high-throughput workflows where speed and cost matter more than maximum reasoning depth.
- Sonnet — the tier most enterprise production work should default to. Strong reasoning at a cost and speed that holds up for daily, high-volume use across coding, writing, analysis, and research.
- Opus — the deepest-reasoning tier, priced accordingly. Reserve it for genuinely complex, high-autonomy, or high-stakes work where getting it right the first time is worth the premium over a faster, cheaper alternative.
A simple default policy for your team
- Start most day-to-day work on the mid-tier (Sonnet) model — it's the right default for the large majority of tasks most teams actually run day to day.
- Reserve the top tier (Opus) for complex, multi-step, or high-stakes work — architecture decisions, long-horizon agentic tasks, anything where the cost of a wrong answer clearly outweighs the price difference.
- Use the fast, low-cost tier (Haiku) for high-volume, well-defined tasks — classification, simple extraction, real-time or high-throughput pipelines where speed genuinely matters more than depth.
- Don't leave this to guesswork per person — publish it as a one-page default, the same way you would for the model selector guidance discussed elsewhere in this series.
One caveat worth stating plainly
Exact pricing, context window sizes, and specific version numbers change frequently as Anthropic ships updates — treat any specific figures you've seen, including in this post, as a snapshot rather than a permanent fact, and verify current specs and rates directly at anthropic.com before a client conversation or a procurement decision that depends on precise numbers.
It's worth revisiting your team's model-tier guidance on a similar cadence to your other rollout hygiene tasks — the relative positioning between tiers tends to stay conceptually stable even as specific models within each tier get updated, but the guidance document itself still benefits from a periodic check to confirm it reflects whatever the current lineup actually looks like at the time someone's reading it.
It's worth building this guidance into whatever onboarding material your organization already provides for new Claude users, rather than treating it as a separate, easily-missed document. New users who see model-tier guidance presented alongside their very first introduction to the tool tend to develop good habits from day one, rather than defaulting to whatever model happens to be pre-selected and never revisiting that choice later.
Teams that get real value from this also periodically review actual usage patterns against the published guidance, checking whether people are genuinely following the recommended defaults or have quietly drifted toward habits that don't match the intended tiering. That periodic check catches drift early, before it becomes an expensive, unnoticed pattern across an entire team's ongoing usage.