Choose AionLabs: Aion-1.0 if…
- cost matters at scale — it is 38% cheaper on a typical 3:1 input/output mix ($460 vs $700 a month for 50,000 support chats)
AionLabs: Aion-1.0 vs Meta: Muse Wonder
Neither wins outright: AionLabs: Aion-1.0 is the pick when cost matters at scale, Meta: Muse Wonder when you need to fit long inputs in one request.
Key numbers
| Spec | AionLabs: Aion-1.0 | Meta: Muse Wonder |
|---|---|---|
| Provider | Aion Labs | Meta |
| Input price (per 1M tokens) | $4.00 | $4.00 |
| Output price (per 1M tokens) | $8.00 | $20.00 |
| Blended price (3:1 input/output) | $5.00 | $8.00 |
| Cheaper than … of all models we track | 10% | 7% |
| Context window | 131K tokens (~197 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 23% | 81% |
| Max output per response | 33K tokens (~24,600 words) | 944K tokens (~707,800 words) |
| Input types | text | text, image, video, file, audio |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-02-04 | 2026-10-12 |
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-1.0 | Meta: Muse Wonder | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $460 | $700 | AionLabs: Aion-1.0 saves $240 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $560 | $680 | AionLabs: Aion-1.0 saves $120 |
| 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 | $720 | AionLabs: Aion-1.0 saves $144 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $368 | $440 | AionLabs: Aion-1.0 saves $72.00 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $208 | $220 | AionLabs: Aion-1.0 saves $12.00 |
Capabilities side by side
| Capability | AionLabs: Aion-1.0 | Meta: Muse Wonder | What 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 | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | ✓ Yes | take speech or audio directly |
| File / PDF input | — | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | ✓ Yes | 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
- AionLabs: Aion-1.0: price unchanged since we started tracking it on 2026-03-10.
- Meta: Muse Wonder: price unchanged since we started tracking it on 2026-10-13.
Which should you choose?
Choose Meta: Muse Wonder if…
- you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 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 structured output (JSON schema) — to return JSON that validates against your schema; 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 file / PDF input — to accept documents without your own parsing step; AionLabs: Aion-1.0 does not advertise it
- you need built-in web search — to answer from live web results; AionLabs: Aion-1.0 does not advertise it
- you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
- you want the newer model — released 2026-10-12, 21 months after the other
Frequently asked questions
Is AionLabs: Aion-1.0 better than Meta: Muse Wonder?
Neither wins outright: AionLabs: Aion-1.0 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-1.0 when cost matters at scale; Meta: Muse Wonder when you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), 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, you want the newer model.
Which is cheaper, AionLabs: Aion-1.0 or Meta: Muse Wonder?
AionLabs: Aion-1.0 is cheaper: $5.00 vs $8.00 per 1M tokens at a typical 3:1 input/output mix, 38% less. For 50,000 support conversations a month that is $460 against $700.
How much do AionLabs: Aion-1.0 and Meta: Muse Wonder cost per million tokens?
AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 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-1.0 or Meta: Muse Wonder?
Meta: Muse Wonder: 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for AionLabs: Aion-1.0.
Do AionLabs: Aion-1.0 and Meta: Muse Wonder support function calling and JSON output?
Tool calling — AionLabs: Aion-1.0: not advertised, Meta: Muse Wonder: yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, Meta: Muse Wonder: yes.
Can AionLabs: Aion-1.0 or Meta: Muse Wonder read images?
Only Meta: Muse Wonder accepts image input; AionLabs: Aion-1.0 is text-only for input.
Is AionLabs: Aion-1.0 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-1.0 and Meta: Muse Wonder?
AionLabs: Aion-1.0 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-1.0 and Meta: Muse Wonder released?
AionLabs: Aion-1.0 was listed on 2025-02-04; Meta: Muse Wonder on 2026-10-12.
About the two models
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 →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 →