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Model card

Claude Opus 4.5

lx1-opus-4.5FrontierPro planLive in the catalog

Opus-class judgment at Anthropic's published $5/$25 card, with vision and a 200K window. The generation before the 1M-window Opus rows.

Context window200K tokens
Input · per Mtok$5
Output · per Mtok$25
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Frontier reasoning
  • 02Vision and tools
  • 03Same Opus card as 4.6 through 5
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 4.5 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.com/v1/messages \
  -H "x-api-key: lx1_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "lx1-opus-4.5",
    "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 inference built for the work

Your agent stays the same.
Its inference gets better.

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

Start free · no card · Launch from $2/mo