AionLabs: Aion-1.0 vs Thinking Machines: Inkling Small (batch)

Thinking Machines: Inkling Small (batch) comes out ahead on the data we track: 8 advantages and none for AionLabs: Aion-1.0.

Key numbers

SpecAionLabs: Aion-1.0Thinking Machines: Inkling Small (batch)
ProviderAion LabsThinkingmachines
Input price (per 1M tokens)$4.00$0.50
Output price (per 1M tokens)$8.00$1.20
Blended price (3:1 input/output)$5.00$0.68
Cheaper than … of all models we track10%48%
Context window131K tokens (~197 pages)524K tokens (~786 pages)
Larger context than … of all models23%68%
Max output per response33K tokens (~24,600 words)472K tokens (~353,900 words)
Input typestexttext, image, audio
Output typestexttext
Free variantNoNo
Listed since2025-02-042026-07-30
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)AionLabs: Aion-1.0Thinking Machines: Inkling Small (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$460$61.50Thinking Machines: Inkling Small (batch) saves $399
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$560$72.00Thinking Machines: Inkling Small (batch) saves $488
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$576$74.40Thinking Machines: Inkling Small (batch) saves $502
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$368$47.20Thinking Machines: Inkling Small (batch) saves $321
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$208$26.20Thinking Machines: Inkling Small (batch) saves $182

Capabilities side by side

CapabilityAionLabs: Aion-1.0Thinking Machines: Inkling Small (batch)What it lets you do
Tool / function calling—✓ Yescall your APIs and run agent loops
Structured output (JSON schema)——return JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input—✓ Yesread screenshots, charts and scanned pages
Audio input—✓ Yestake speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)——repeat a generation for tests and evals
Log-probabilities—✓ Yesread token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose AionLabs: Aion-1.0 if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Choose Thinking Machines: Inkling Small (batch) if…

  • cost matters at scale — it is 87% cheaper on a typical 3:1 input/output mix ($61.50 vs $460 a month for 50,000 support chats)
  • you need to fit long inputs in one request — 524K tokens is roughly 786 pages, against 197
  • you need tool / function calling — to call your APIs and run agent loops; AionLabs: Aion-1.0 does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion-1.0 does not advertise it
  • you need audio input — to take speech or audio directly; AionLabs: Aion-1.0 does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; AionLabs: Aion-1.0 does not advertise it
  • you generate long outputs in one go — up to 472K tokens (about 353,900 words) per response
  • you want the newer model — released 2026-07-30, 18 months after the other

Frequently asked questions

Is AionLabs: Aion-1.0 better than Thinking Machines: Inkling Small (batch)?

Thinking Machines: Inkling Small (batch) comes out ahead on the data we track: 8 advantages and none for AionLabs: Aion-1.0.

Which is cheaper, AionLabs: Aion-1.0 or Thinking Machines: Inkling Small (batch)?

Thinking Machines: Inkling Small (batch) is cheaper: $0.68 vs $5.00 per 1M tokens at a typical 3:1 input/output mix, 87% less. For 50,000 support conversations a month that is $61.50 against $460.

How much do AionLabs: Aion-1.0 and Thinking Machines: Inkling Small (batch) cost per million tokens?

AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 per 1M output tokens; Thinking Machines: Inkling Small (batch) costs $0.50 input and $1.20 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, AionLabs: Aion-1.0 or Thinking Machines: Inkling Small (batch)?

Thinking Machines: Inkling Small (batch): 524K tokens, about 786 pages, against 131K (about 197 pages) for AionLabs: Aion-1.0.

Do AionLabs: Aion-1.0 and Thinking Machines: Inkling Small (batch) support function calling and JSON output?

Tool calling — AionLabs: Aion-1.0: not advertised, Thinking Machines: Inkling Small (batch): yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, Thinking Machines: Inkling Small (batch): not advertised.

Can AionLabs: Aion-1.0 or Thinking Machines: Inkling Small (batch) read images?

Only Thinking Machines: Inkling Small (batch) accepts image input; AionLabs: Aion-1.0 is text-only for input.

Is AionLabs: Aion-1.0 or Thinking Machines: Inkling Small (batch) free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of AionLabs: Aion-1.0 and Thinking Machines: Inkling Small (batch)?

AionLabs: Aion-1.0 can write up to 33K tokens (about 24,600 words) per response; Thinking Machines: Inkling Small (batch) up to 472K (about 353,900 words).

When were AionLabs: Aion-1.0 and Thinking Machines: Inkling Small (batch) released?

AionLabs: Aion-1.0 was listed on 2025-02-04; Thinking Machines: Inkling Small (batch) on 2026-07-30.

About the two models

Aion Labs

AionLabs: Aion-1.0

Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of Experts (MoE). It is Aion Lab's most powerful reasoning model.

Full AionLabs: Aion-1.0 specs →

Compare AionLabs: Aion-1.0 with other models

Compare Thinking Machines: Inkling Small (batch) with other models

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