AionLabs: Aion 3.5 Mini vs ScaleDown: Summarize

Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale.

Key numbers

SpecAionLabs: Aion 3.5 MiniScaleDown: Summarize
ProviderAion LabsScaledown
Input price (per 1M tokens)$0.70$0.04
Output price (per 1M tokens)$1.40$0
Blended price (3:1 input/output)$0.87$0.03
Cheaper than … of all models we track42%89%
Context window262K tokens (~393 pages)1M tokens (~1,500 pages)
Larger context than … of all models48%69%
Max output per response33K tokens (~24,600 words)4K tokens (~3,000 words)
Input typestexttext, image, file
Output typestexttext
Free variantNoNo
Listed since2026-09-232026-10-13

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 3.5 MiniScaleDown: SummarizeDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$80.50$3.00ScaleDown: Summarize saves $77.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$98.00$4.80ScaleDown: Summarize saves $93.20
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)
$101$4.80ScaleDown: Summarize saves $96.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$64.40$3.20ScaleDown: Summarize saves $61.20
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$36.40$2.00ScaleDown: Summarize saves $34.40

Capabilities side by side

CapabilityAionLabs: Aion 3.5 MiniScaleDown: SummarizeWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return JSON that validates against your schema
Reasoning / thinking mode✓ Yes—spend extra tokens thinking before answering hard problems
Image input—✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input—✓ Yesaccept 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——read 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 3.5 Mini if…

  • you need tool / function calling — to call your APIs and run agent loops; ScaleDown: Summarize does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; ScaleDown: Summarize does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; ScaleDown: Summarize does not advertise it
  • you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response

Choose ScaleDown: Summarize if…

  • cost matters at scale — it is 97% cheaper on a typical 3:1 input/output mix ($3.00 vs $80.50 a month for 50,000 support chats)
  • you need to fit long inputs in one request — 1M tokens is roughly 1,500 pages, against 393
  • you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion 3.5 Mini does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; AionLabs: Aion 3.5 Mini does not advertise it

Frequently asked questions

Is AionLabs: Aion 3.5 Mini better than ScaleDown: Summarize?

Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale. In short: AionLabs: Aion 3.5 Mini when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you generate long outputs in one go; ScaleDown: Summarize when cost matters at scale, you need to fit long inputs in one request, you need image input, you need file / PDF input.

Which is cheaper, AionLabs: Aion 3.5 Mini or ScaleDown: Summarize?

ScaleDown: Summarize is cheaper: $0.03 vs $0.87 per 1M tokens at a typical 3:1 input/output mix, 97% less. For 50,000 support conversations a month that is $3.00 against $80.50.

How much do AionLabs: Aion 3.5 Mini and ScaleDown: Summarize cost per million tokens?

AionLabs: Aion 3.5 Mini costs $0.70 per 1M input tokens and $1.40 per 1M output tokens; ScaleDown: Summarize costs $0.04 input and $0 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, AionLabs: Aion 3.5 Mini or ScaleDown: Summarize?

ScaleDown: Summarize: 1M tokens, about 1,500 pages, against 262K (about 393 pages) for AionLabs: Aion 3.5 Mini.

Do AionLabs: Aion 3.5 Mini and ScaleDown: Summarize support function calling and JSON output?

Tool calling — AionLabs: Aion 3.5 Mini: yes, ScaleDown: Summarize: not advertised. JSON-schema structured output — AionLabs: Aion 3.5 Mini: yes, ScaleDown: Summarize: not advertised.

Can AionLabs: Aion 3.5 Mini or ScaleDown: Summarize read images?

Only ScaleDown: Summarize accepts image input; AionLabs: Aion 3.5 Mini is text-only for input.

Is AionLabs: Aion 3.5 Mini or ScaleDown: Summarize free to use?

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

What is the maximum output length of AionLabs: Aion 3.5 Mini and ScaleDown: Summarize?

AionLabs: Aion 3.5 Mini can write up to 33K tokens (about 24,600 words) per response; ScaleDown: Summarize up to 4K (about 3,000 words).

When were AionLabs: Aion 3.5 Mini and ScaleDown: Summarize released?

AionLabs: Aion 3.5 Mini was listed on 2026-09-23; ScaleDown: Summarize on 2026-10-13.

About the two models

Compare AionLabs: Aion 3.5 Mini with other models

Compare ScaleDown: Summarize with other models

Advertisement