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Inkling

sdn-inklingFrontierLive in the catalog

The debut model from Thinking Machines Lab: a frontier multimodal reasoner that reads images and audio alongside text, with a million-token window. A distinctive pick when the input isn't just text — long transcripts, recordings, screenshots — and the task still needs real depth.

Context window1M tokens
Input · per Mtok$1
Output · per Mtok$4.05
Served bySideren engine
Where it earns its keep[01/03]
  • 01Multimodal: text, images, and audio input
  • 02Frontier reasoning with a 1M-token window
  • 03Built for mixed-media agent work
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.

VisionYes

Reads images — screenshots, diagrams, and UI states — inline in the conversation.

Behind the endpoint[02/03]

One endpoint. Served by our engine.

Inkling 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-inkling",
    "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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