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Model card

Llama 3.3 70B

sdn-llama-3.3-70bGeneral purposeLive in the catalog

The most widely deployed open generalist of its generation. It doesn't reason out loud and it doesn't surprise you — which is the appeal: predictable output, clean instruction following, and years of community know-how behind every prompt pattern. The compatibility pick when a stack was built around Llama.

Context window131K tokens
Input · per Mtok$0.9
Output · per Mtok$0.9
Served bySideren engine
Where it earns its keep[01/03]
  • 01Predictable, well-understood behavior
  • 02Clean instruction following
  • 03Drop-in for Llama-based stacks
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.

Llama 3.3 70B is served through the Sideren 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.sideren.io/v1/messages \
  -H "x-api-key: sdn_your_key" \
  -H "content-type: application/json" \
  -d '{
    "model": "sdn-llama-3.3-70b",
    "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.sideren.io

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