AionLabs: Aion-1.0 vs Meta: Muse Glimmer 30B (batch)

Meta: Muse Glimmer 30B (batch) comes out ahead on the data we track: 7 advantages and none for AionLabs: Aion-1.0.

Key numbers

SpecAionLabs: Aion-1.0Meta: Muse Glimmer 30B (batch)
ProviderAion LabsMeta
Input price (per 1M tokens)$4.00$0.17
Output price (per 1M tokens)$8.00$0.75
Blended price (3:1 input/output)$5.00$0.32
Cheaper than … of all models we track10%62%
Context window131K tokens (~197 pages)131K tokens (~197 pages)
Larger context than … of all models23%23%
Max output per response33K tokens (~24,600 words)118K tokens (~88,500 words)
Input typestexttext, image
Output typestexttext
Free variantNoNo
Listed since2025-02-042026-08-09
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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-1.0Meta: Muse Glimmer 30B (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$460$28.12Meta: Muse Glimmer 30B (batch) saves $432
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$560$28.50Meta: Muse Glimmer 30B (batch) saves $532
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$30.00Meta: Muse Glimmer 30B (batch) saves $546
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$368$18.50Meta: Muse Glimmer 30B (batch) saves $350
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$208$9.50Meta: Muse Glimmer 30B (batch) saves $199

Capabilities side by side

CapabilityAionLabs: Aion-1.0Meta: Muse Glimmer 30B (batch)What it lets you do
Tool / function calling—✓ Yescall your APIs and run agent loops
Structured output (JSON schema)—✓ 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——take 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

DateModelInput / 1MOutput / 1M
2026-09-09Meta: Muse Glimmer 30B (batch)$0.17$0.75

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 Meta: Muse Glimmer 30B (batch) if…

  • cost matters at scale — it is 94% cheaper on a typical 3:1 input/output mix ($28.12 vs $460 a month for 50,000 support chats)
  • 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 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 118K tokens (about 88,500 words) per response
  • you want the newer model — released 2026-08-09, 18 months after the other

Frequently asked questions

Is AionLabs: Aion-1.0 better than Meta: Muse Glimmer 30B (batch)?

Meta: Muse Glimmer 30B (batch) comes out ahead on the data we track: 7 advantages and none for AionLabs: Aion-1.0.

Which is cheaper, AionLabs: Aion-1.0 or Meta: Muse Glimmer 30B (batch)?

Meta: Muse Glimmer 30B (batch) is cheaper: $0.32 vs $5.00 per 1M tokens at a typical 3:1 input/output mix, 94% less. For 50,000 support conversations a month that is $28.12 against $460.

How much do AionLabs: Aion-1.0 and Meta: Muse Glimmer 30B (batch) cost per million tokens?

AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 per 1M output tokens; Meta: Muse Glimmer 30B (batch) costs $0.17 input and $0.75 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 Glimmer 30B (batch)?

Both take 131K tokens per request — roughly 197 pages of text.

Do AionLabs: Aion-1.0 and Meta: Muse Glimmer 30B (batch) support function calling and JSON output?

Tool calling — AionLabs: Aion-1.0: not advertised, Meta: Muse Glimmer 30B (batch): yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, Meta: Muse Glimmer 30B (batch): yes.

Can AionLabs: Aion-1.0 or Meta: Muse Glimmer 30B (batch) read images?

Only Meta: Muse Glimmer 30B (batch) accepts image input; AionLabs: Aion-1.0 is text-only for input.

Is AionLabs: Aion-1.0 or Meta: Muse Glimmer 30B (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 Meta: Muse Glimmer 30B (batch)?

AionLabs: Aion-1.0 can write up to 33K tokens (about 24,600 words) per response; Meta: Muse Glimmer 30B (batch) up to 118K (about 88,500 words).

When were AionLabs: Aion-1.0 and Meta: Muse Glimmer 30B (batch) released?

AionLabs: Aion-1.0 was listed on 2025-02-04; Meta: Muse Glimmer 30B (batch) on 2026-08-09.

Has the price of AionLabs: Aion-1.0 or Meta: Muse Glimmer 30B (batch) changed?

AionLabs: Aion-1.0: price unchanged since we started tracking it on 2026-03-10. Meta: Muse Glimmer 30B (batch): input price cut 50% ($0.35 → $0.17/1M), output price cut 50% ($1.50 → $0.75/1M) on 2026-09-09.

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 Meta: Muse Glimmer 30B (batch) with other models

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