Claude Opus: Anthropic's Pro Tier Explained
Current status
The current flagship of the line is Claude Opus 5 (released 24 July 2026). Concrete numbers on price, context window and benchmarks live there — this page describes the line as a whole and doesn’t age with every new version.
What Claude Opus stands for
Opus is the top of the three classic Claude lines. Since Claude 3, Anthropic has split its models into three sizes: Haiku for speed and low cost, Sonnet as the balanced middle, Opus for the hardest work. Within that split, Opus is the line you reach for when reasoning depth and reliability across many steps matter more than price and speed.
One thing to keep straight for 2026: Opus is no longer the most capable Claude model without qualification. Above it now sits the Fable tier (and the narrowly distributed Mythos). But Opus remains the regular, broadly available pro line — the tier that hits the right balance of capability and cost for most demanding projects.
- Coding 5 / 5 · Feld-Spitze
- Reasoning 5 / 5 · Feld-Spitze
- Text 4.5 / 5 · Claude Fable 5.1
- Vision 4 / 5 · Gemini 3.1 Pro
- Speed 2.5 / 5 · Claude Haiku 4.5 u. a.
- Kosten-Eff. 2 / 5 · GPT Luna u. a.
Eignung 0–5 · redaktionelle Einordnung, kein Benchmark · gestrichelt = Feld-Bestwert je Achse
The profile shows the line’s signature: high on coding and reasoning, solid on text and vision, deliberately restrained on speed and cost efficiency. That’s not a shortcoming, it’s the positioning — Opus buys you depth, not throughput.
Where it fits
Opus earns its keep where a task has to hold together across many steps:
- Agentic coding in larger codebases — keeping several files in view, staying consistent across a long run, adjusting the plan as intermediate results come in.
- Multi-step research and analysis — weighing sources against each other and writing a defensible synthesis rather than a quick summary.
- Demanding document work — long contracts, technical specs, datasets where one missed contradiction gets expensive.
- Computer use and long-running agents — tool chains that run for minutes rather than seconds, where one failure makes the whole run worthless.
Where Opus is not the first choice: high-volume, short tasks like classification, extraction or simple chat support. There you’re paying for reasoning depth the task doesn’t need.
How to choose: Opus, Sonnet or Haiku?
The three lines solve the same underlying problem at different points on the curve of capability, speed and price. The positioning map makes that visible:
Redaktionelle Einordnung, kein Benchmark
As a rule of thumb:
- Does the run fail if a single intermediate step tips over? Then Opus — reliability across the chain is the argument.
- Do you need good quality at high volume and moderate cost? Then Sonnet, the balanced default.
- Do latency and price matter most, and the task is clearly scoped? Then Haiku.
A clean pattern in practice: Opus (or Sonnet) orchestrates, Haiku handles the many small sub-steps in parallel. Put the switch between models in one central, configurable spot in your own system and you save yourself the rebuild later — this market moves too fast for hard wiring.
Read on
- Claude Opus 5 — the current flagship with pricing and benchmarks
- Claude Opus 4.8 — the previous version of the line
- LLM model families at a glance — Opus next to GPT, Gemini and co.
- AI pricing explained — how the higher Opus price pencils out
- Understanding context windows — why long contexts matter for Opus-class work
FAQ
- All three belong to the same Claude generation but differ in capability, speed and price. Haiku is tuned for speed and cost, Sonnet is the balanced default, Opus delivers the deepest reasoning of the three — at a correspondingly higher price per token.
- Not without qualification anymore. Since 2026, Fable and the narrowly distributed Mythos sit as two further tiers above Opus. But Opus remains the regular, broadly available pro line for coding, agents and knowledge work.
- Those where reasoning depth and reliability across many steps count — agentic coding in larger codebases, multi-step research, or demanding document and analysis work. For simple, high-volume tasks, Sonnet or Haiku is the more economical pick.
- This hub maps the line as a whole. Details on specific versions — price, context window, benchmark scores — live in the linked glossary entries, currently Claude Opus 5 and Claude Opus 4.8.
- No. Opus is proprietary only, via the Claude apps, the Anthropic API and cloud partner platforms (Amazon Bedrock, Google Cloud Vertex AI, Microsoft Foundry) — there are no freely downloadable weights.