AionLabs: Aion 3.5 Mini vs Meta: Muse Wonder

Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when cost matters at scale, Meta: Muse Wonder when you need to fit long inputs in one request.

Key numbers

SpecAionLabs: Aion 3.5 MiniMeta: Muse Wonder
ProviderAion LabsMeta
Input price (per 1M tokens)$0.70$4.00
Output price (per 1M tokens)$1.40$20.00
Blended price (3:1 input/output)$0.87$8.00
Cheaper than … of all models we track42%7%
Context window262K tokens (~393 pages)1.0M tokens (~1,573 pages)
Larger context than … of all models48%81%
Max output per response33K tokens (~24,600 words)944K tokens (~707,800 words)
Input typestexttext, image, video, file, audio
Output typestexttext
Free variantNoNo
Listed since2026-09-232026-10-12

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 MiniMeta: Muse WonderDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$80.50$700AionLabs: Aion 3.5 Mini saves $620
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$98.00$680AionLabs: Aion 3.5 Mini saves $582
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$720AionLabs: Aion 3.5 Mini saves $619
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$64.40$440AionLabs: Aion 3.5 Mini saves $376
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$220AionLabs: Aion 3.5 Mini saves $184

Capabilities side by side

CapabilityAionLabs: Aion 3.5 MiniMeta: Muse WonderWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn 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—✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search—✓ Yesanswer 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…

  • cost matters at scale — it is 89% cheaper on a typical 3:1 input/output mix ($80.50 vs $700 a month for 50,000 support chats)

Choose Meta: Muse Wonder if…

  • you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 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 audio input — to take speech or audio directly; 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
  • you need built-in web search — to answer from live web results; AionLabs: Aion 3.5 Mini does not advertise it
  • you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response

Frequently asked questions

Is AionLabs: Aion 3.5 Mini better than Meta: Muse Wonder?

Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when cost matters at scale, Meta: Muse Wonder when you need to fit long inputs in one request. In short: AionLabs: Aion 3.5 Mini when cost matters at scale; Meta: Muse Wonder when you need to fit long inputs in one request, you need image input, you need audio input, you need file / PDF input, you need built-in web search, you generate long outputs in one go.

Which is cheaper, AionLabs: Aion 3.5 Mini or Meta: Muse Wonder?

AionLabs: Aion 3.5 Mini is cheaper: $0.87 vs $8.00 per 1M tokens at a typical 3:1 input/output mix, 89% less. For 50,000 support conversations a month that is $80.50 against $700.

How much do AionLabs: Aion 3.5 Mini and Meta: Muse Wonder cost per million tokens?

AionLabs: Aion 3.5 Mini costs $0.70 per 1M input tokens and $1.40 per 1M output tokens; Meta: Muse Wonder costs $4.00 input and $20.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, AionLabs: Aion 3.5 Mini or Meta: Muse Wonder?

Meta: Muse Wonder: 1.0M tokens, about 1,573 pages, against 262K (about 393 pages) for AionLabs: Aion 3.5 Mini.

Do AionLabs: Aion 3.5 Mini and Meta: Muse Wonder support function calling and JSON output?

Tool calling — AionLabs: Aion 3.5 Mini: yes, Meta: Muse Wonder: yes. JSON-schema structured output — AionLabs: Aion 3.5 Mini: yes, Meta: Muse Wonder: yes.

Can AionLabs: Aion 3.5 Mini or Meta: Muse Wonder read images?

Only Meta: Muse Wonder accepts image input; AionLabs: Aion 3.5 Mini is text-only for input.

Is AionLabs: Aion 3.5 Mini or Meta: Muse Wonder 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 Meta: Muse Wonder?

AionLabs: Aion 3.5 Mini can write up to 33K tokens (about 24,600 words) per response; Meta: Muse Wonder up to 944K (about 707,800 words).

When were AionLabs: Aion 3.5 Mini and Meta: Muse Wonder released?

AionLabs: Aion 3.5 Mini was listed on 2026-09-23; Meta: Muse Wonder on 2026-10-12.

About the two models

Meta

Meta: Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

Full Meta: Muse Wonder specs →

Compare AionLabs: Aion 3.5 Mini with other models

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