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Thinking Machines: Inkling Small

Source description (English)

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

Overview

Model specifications

Context
1,048,576 tokens
Maximum output
262,144 tokens
Architecture
text+image+audio->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.45
per 1M tokens
Output
$1.2
per 1M tokens
Cache read
$0.1
per 1M tokens
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
high
Capabilities
max, high, medium, low, minimal, none
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"thinkingmachines/inkling-small","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
textimageaudio
Output
text
Reasoning

Yes · max · high · medium · low · minimal · none

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p
Available providers

2 providers

Checked: September 23, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

DeepInfra

fp8
Context
524K
Maximum output
262K
Input
$0.45
Output
$1.2
Cache read
$0.1
Cache write
Not provided

BaseTen

fp8
Context
1.0M
Maximum output
33K
Input
$0.5
Output
$1.2
Cache read
$0.1
Cache write
Not provided
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