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Step 3

lx1-step-3ReasoningLive in the catalog

A multimodal reasoning model that reads images as fluently as text and works through problems step by step. With a 256K window and tool calling, it fits agent tasks that mix screenshots, documents, and code — the kind of work where the input isn't all one shape.

Context window256K tokens
Input · per Mtok$0.57
Output · per Mtok$1.42
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Multimodal reasoning over text and images
  • 02256K context for mixed, messy inputs
  • 03Tools plus vision in one model
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.

Step 3 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-step-3",
    "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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