Step 3
lx1-step-3ReasoningLive in the catalogA 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.
- 01Multimodal reasoning over text and images
- 02256K context for mixed, messy inputs
- 03Tools plus vision in one model
Strict, schema-faithful tool calls, enforced by the engine on every request — safe to build an agent loop on.
Thinks before it answers. Budget max_tokens generously — hidden reasoning counts against it.
Reads images — screenshots, diagrams, and UI states — inline in the conversation.
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.
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.
Your agent doesn't change.
Everything underneath does.
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