Mistral Large 3 675B
lx1-mistral-large-3-675bWorkhorseLive in the catalogA very large general-purpose model that stays fast despite its size. Broad knowledge, clean instruction following, and a 262K window make it a safe pick for agents whose work is wide rather than deep — support, ops, content, and everything in between.
- 01Big-model breadth with everyday speed
- 02Clean instruction following
- 03262K context for wide-ranging tasks
Strict, schema-faithful tool calls, enforced by the engine on every request — safe to build an agent loop on.
No hidden chain-of-thought: output length stays predictable, latency stays tight.
Text-only.
One endpoint. Served by our engine.
Mistral Large 3 675B 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-mistral-large-3-675b",
"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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