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Qwen3 235B

lx1-qwen3-235bReasoningLive in the catalog

The standout value in the catalog: a 235B reasoning model priced like a small one, with a 262K context window. For analysis, planning, and long-document work it delivers most of what the expensive tiers do at a fraction of the price — the model to try first when a task needs real thought.

Context window262K tokens
Input · per Mtok$0.22
Output · per Mtok$0.88
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Big-model reasoning at a small-model price
  • 02262K context for long documents and histories
  • 03Great first pick for analysis and planning
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.

Qwen3 235B 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-qwen3-235b",
    "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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