Claude: Opus vs. Sonnet vs. Haiku
Anthropic ships Claude as a three-tier family rather than a single model. Each tier sits at a different point on the same curve, trading intelligence against latency and cost: Opus for maximum capability, Sonnet for balance, and Haiku for speed. All three share one safety-focused architecture; the choice is about matching a tier to the value of the task.
How the tiers compare
| Dimension | Opus (power) | Sonnet (balance) | Haiku (speed) |
|---|---|---|---|
| Reasoning profile | Complex, multi-step | Efficient, high-quality | Near-instant, single-turn |
| Relative cost | Highest | Moderate | Lowest |
| Latency | Highest | Moderate | Lowest |
| Strongest on | R&D, strategy, deep analysis | Enterprise workloads, RAG, code gen | Support, moderation, high-volume tasks |
Opus — the power tier
Opus is the most capable model in the family, built for work that rewards deep reasoning: open-ended prompts, unfamiliar tasks, and multi-step problem-solving. It suits high-value work like drafting contracts, research synthesis, and strategy built from raw data. It is also the most expensive tier, so it earns its place only on the highest-value tasks.
Sonnet — the balanced tier
Sonnet offers the best mix of capability and speed, which makes it the sensible default for most production work. It is strong at knowledge retrieval, code generation, and quality-control tasks that need reliable output at scale — the engine behind most enterprise RAG systems, automation, and data pipelines where both accuracy and cost matter.
Haiku — the speed tier
Haiku is the fastest and cheapest tier, built for real-time responses. It handles high volumes of simple, single-turn requests with minimal latency, which makes it a fit for live support chatbots, content moderation, and other user-facing flows where an immediate answer beats deep reasoning.
Choosing a tier
A cascade keeps cost proportional to difficulty:
- Default to Haiku for real-time, high-volume, or simple tasks — first-pass user queries, classification, filtering.
- Escalate to Sonnet when a task needs more nuance, extraction, or code generation. This is the workhorse for most internal processes.
- Reserve Opus for the most complex, high-stakes reasoning, where output value justifies the cost — final report generation, strategic analysis.
Context, safety, and access
All three tiers share a large context window (200K+ tokens) and are governed by Anthropic’s Constitutional AI framework. The cost gap across tiers is significant — Opus can run many times the per-token price of Haiku — which makes tier selection a real business decision. All are reachable through the Anthropic API, so switching per request is straightforward.
