ThinkingmachinesReasoningReleased 30 July 2026

Inkling Small pricing, context and benchmark

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total.

524K
Input context
262K
Output context
$0.45
Official input
$1.2
Official output
13
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelInkling Small
Model IDthinkingmachines/inkling-small
ProviderThinkingmachines
Release date30 July 2026
StatusGenerally available
Input context524,288 tokens
Output context262,144 tokens
Official input pricing$0.45 per 1M tokens
Official output pricing$1.2 per 1M tokens
Cache read pricing$0.06 per 1M tokens (80% off input)
Market input pricing$0.45 per 1M (cheapest route)
Market output pricing$1.2 per 1M (cheapest route)
Input modalitiestext · image · audio
Output modalitiestext
Reasoning controlNot exposed
Tool supportText generation only
TokenizerOther
Provider routes1 endpoint
Artificial Analysis index13 (#21 of 26)
Speed74 tokens/s, 27.28s to first token
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.45 in
Image✓ yesno$0.45 in
Audio✓ yesno$0.45 in
Videonononot supported
File (PDF)nononot supported

What is Inkling Small?

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...

Inkling Small carries a 524K token window, uses the Other tokenizer and is served by Thinkingmachines. On Hoodgen it sits in the Reasoning tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released30 July 2026

This is the only release of Inkling Small on OpenRouter, released 30 July 2026. The provider has not published a knowledge cutoff, so treat training data as recent but unconfirmed for very new events.

Features and capabilities

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Vision
Screenshots, charts and photographed documents are read at the text token rate.
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Audio and video
Calls, meetings and screen recordings can be summarised in one pass.
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Prompt caching
Cached input costs $0.06 per million instead of $0.45, so stable prefixes get cheaper.

Benchmark results and performance

Artificial Analysis Intelligence Index v5.0.1 blends nine evaluations. Inkling Small scores 13 , ranking #21 of 26.

Intelligence index
13
#21 of 26
Cost per task
$0.2
weighted average per index task
Time per task
8.2m
inference time
Output speed
74
tokens per second
Index score and cost per task
Index score#21 of 26
13
Cost per taskUSD
$0.2
Scale: index 0 to 70, cost 0 to $20. Sub scores are not published per evaluation, so none are invented here.

What can you do with Inkling Small?

Debugging and root cause
Multi file failures where the model has to hold a causal chain before answering.
Architecture and planning
Design docs, migration plans and trade off analysis over long context.
Data analysis
Spreadsheets and logs read in one pass, then summarised with the numbers quoted back.
Agentic coding
Repo wide changes that need plan, edit and verify loops.

Prompt caching and how to cut the bill

Cached input bills at $0.06 per million instead of $0.45, a 80% discount. Keep the system prompt and documents first and the changing question last, so every call hits the cache.

Inkling Small pricing

Official pricing

List price
$0.45 / 1M in
$1.2 / 1M out
  • $0.06 cached input
  • 524K context
  • text, image, audio input
Cheapest route
$0.45 / 1M in
$1.2 / 1M out
  • 1 route on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
DeepInfrastandard$0.45$1.2$0.1100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0066$3.303135
List price$0.0061$3.062907

API and developer information

Model IDthinkingmachines/inkling-small
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersprompt and max_tokens
StreamingYes, server sent events
Modality stringtext+image+audio->text
Max prompt tokens524,288
Max completion tokens262,144
curl 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": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap262,144 tokens per request. Long deliverables have to be chunked.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Inkling Small vs other Thinkingmachines models

ModelContextInput /1MOutput /1MAA indexReleased
Inkling Small524K$0.45$1.2132026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Thinkingmachines and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Inkling Small questions, answered

Inkling Small is a reasoning model from Thinkingmachines, released 30 July 2026. Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total.
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Start chatting with Inkling Small

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.