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Model card

Nemotron 3 120B

lx1-nemotron-3-120bWorkhorseLive in the catalog

A hybrid mixture-of-experts build that holds up unusually well in multi-agent setups — orchestrators, worker swarms, agents talking to agents. 256K of context and dependable tool calling make it a strong backbone for systems with a lot of moving parts.

Context window256K tokens
Input · per Mtok$0.5
Output · per Mtok$1.5
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Proven in multi-agent orchestration
  • 02256K context for busy shared histories
  • 03Dependable structured tool output
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.

VisionNo

Text-only.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Nemotron 3 120B 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-nemotron-3-120b",
    "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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