Anthropic

Claude Opus 5 API

Claude Opus 5 is Anthropic's newest frontier Claude route, aimed at the work where a shallow answer is expensive: multi-file refactors, long-running agents that must hold a goal across many steps, and reasoning that has to survive a chain of tool calls. It reads context up to one million tokens, so a large repository or a long investigation can stay in a single session.

The practical way to think about it is scope rather than raw speed. Opus 5 earns its place when a task involves investigating unfamiliar code, planning a change, calling tools, and then explaining what it did — the kind of request where the written reasoning matters as much as the diff. For short, high-volume calls a smaller route is usually the better economic choice.

Through GlideflowAI it sits behind the same OpenAI- and Anthropic-compatible interface as the rest of the catalog, at a fraction of the list rate shown above. A team keeps its client, base URL, and auth stable and simply points the hardest requests at this model.

FlagshipReasoningAgents

What Claude Opus 5 is good for

  • Working through a repository migration in reviewable steps rather than one opaque rewrite.
  • Investigating a production incident across several services before proposing a narrow fix.
  • Reviewing a pull request for behavioral regressions, not only style or syntax.
  • Driving a tool-using coding agent that reads results and revises its plan across many turns.
  • Turning a long product brief and scattered technical notes into a defensible implementation plan.

New to the gateway? Start with the quickstart, then review authentication before putting a key in an application.

Before a production launch, keep credentials server-side, record each selected model, token use, and validation result, and define a per-run budget. Those traces let you compare models on the workflow that matters, diagnose failures with evidence, and change a routing rule without guessing when product requirements or traffic change.

When to choose Claude Opus 5

Choose Opus 5 when the cost of a wrong or shallow answer is higher than the cost of a longer model call. For responsive day-to-day coding loops, a mid-tier route like Claude Sonnet 5 is often the more natural companion; reserve Opus 5 for complex investigation, long-horizon agent work, or a high-consequence change.

Compare the current token rates on Pricing and test the nearest alternatives on your real prompts. The related models below are a useful starting set for that evaluation.

Pricing

USD per 1M tokens. No hidden markup.

Input

Output

Call Claude Opus 5 in seconds

It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model toclaude-opus-5.

curl https://api.glideflowai.com/v1/chat/completions \
  -H "Authorization: Bearer sk-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-opus-5",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

FAQ

How is Claude Opus 5 billed?

GlideflowAI bills input and output tokens separately at the USD rates shown above, per one million tokens. Your prompt, system instructions, tool results, and the generated answer all count toward the relevant side of that total, so estimate an agent workflow against the Pricing section on this page rather than a single request.

Can I call it with the OpenAI SDK?

Yes. Point the SDK base URL at GlideflowAI's endpoint, use your GlideflowAI key, and pass claude-opus-5 as the model name. The same model is also reachable through the Anthropic-compatible endpoint if your client already speaks that shape.

How does it compare to Claude Opus 4.8 here?

Both are premium Claude routes on the same interface. Opus 5 is the newer flagship; if you are starting fresh, begin with it and drop to a smaller route for routine work. Prices for every route are listed on the Models page so you can compare before switching a workload.

Is it a sensible default for every request?

Usually not. A frontier route is most valuable when codebase understanding, long-horizon tool use, or careful reasoning changes the outcome. Send routine extraction, classification, or high-volume chat to a smaller model and keep Opus 5 for the requests that justify it.