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Claude Opus 4.8

lx1-opus-4.8FrontierLive in the catalog

The most capable model in the catalog. When a task would defeat everything else — intricate architecture, subtle multi-file debugging, judgment calls that need real depth — this is where it goes. Frontier reasoning, vision, and a 200K window, priced to match; reach for it on the steps that decide whether the whole run succeeds.

Context window200K tokens
Input · per Mtok$15
Output · per Mtok$75
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Frontier reasoning on the hardest, highest-stakes steps
  • 02Vision: reads screenshots, diagrams, and UI states
  • 03200K context holds an entire task in view
Capabilities
Tool callingYes

Strict, schema-faithful tool calls, enforced by the engine on every request — safe to build an agent loop on.

ReasoningYes

Thinks before it answers. Budget max_tokens generously — hidden reasoning counts against it.

VisionYes

Reads images — screenshots, diagrams, and UI states — inline in the conversation.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Claude Opus 4.8 is served through the Layer X1 engine — zero-downtime serving is the design target, not a status-page apology. You request it by name; everything else is our problem.

Call it by name
curl https://api.layerx1.in/v1/messages \
  -H "x-api-key: lx1_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "lx1-opus-4.8",
    "max_tokens": 1024,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

OpenAI-style clients work too — send the same model name to /v1/chat/completions with a Bearer key. See the docs for both dialects.

Put your agent on real infrastructure

Your agent doesn't change.
Everything underneath does.

$export ANTHROPIC_BASE_URL=https://api.layerx1.in

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