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Model card

LongCat 2.0

lx1-longcat-2Cheap · big ctxLive in the catalog

An efficiency-first mixture-of-experts model with an enormous context window and pricing to match a much smaller one. It answers without spending tokens thinking out loud, which keeps latency low — ideal for the token-hungry jobs where what matters is how much it can hold: long histories, large document sets, sprawling logs.

Context window1M tokens
Input · per Mtok$0.3
Output · per Mtok$1.2
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 011M-token context at a rock-bottom price
  • 02Efficient MoE — low latency, no reasoning overhead
  • 03Built for long-context, high-volume work
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.

VisionNo

Text-only.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

LongCat 2.0 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-longcat-2",
    "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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