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Devstral 2 123B

lx1-devstral-2-123bCodingLive in the catalog

A software-engineering specialist tuned on real development workflows — issues, diffs, reviews, refactors. It's strongest where the work looks like a ticket rather than a puzzle: understand the codebase, make the change, keep the style.

Context window262K tokens
Input · per Mtok$0.4
Output · per Mtok$2
Served byLayer X1 engine
Where it earns its keep[01/03]
  • 01Tuned specifically for software-engineering tasks
  • 02Strong codebase comprehension before editing
  • 03Keeps to existing style and conventions
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.

Devstral 2 123B 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-devstral-2-123b",
    "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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