Model card

Llama 4 Scout

lx1-llama-4-scoutLong contextLive in the catalog

Scout is the long-context Llama 4: vision, tools, and a 3.5M-token window at a cheap-bigctx card. Reach for it when the prompt is enormous and the input includes images.

Context window3.5M tokens

Input · per Mtok$0.17

Output · per Mtok$0.66

Served byLayer X1 engine

Where it earns its keep[01/03]

013.5M-token context
02Open weights plus vision
03Cheap for the window

Capabilities

Tool callingYes

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

ReasoningNo

No hidden chain-of-thought: output length stays predictable, latency stays tight.

VisionYes

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

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Llama 4 Scout 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-llama-4-scout",
    "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.

Your agent stays the same.
Its inference gets better.

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

Get a key Read the docs

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

One endpoint. Served by our engine.

Your agent stays the same.Its inference gets better.

Your agent stays the same.
Its inference gets better.