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AionLabs: Aion 3.5 Mini API Pricing

AionLabs: Aion 3.5 Mini costs $0.700 per 1M input tokens and $1.40 per 1M output tokens (cache reads: $0.180). Context window: 262K. Prices verified 2026-10-21 · source

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Price history
2026-09-24 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.700
Output / 1M tokens
$1.40
Context window
262K
Max output
33K

Token economics

Token typePricevs base input
Standard input$0.700—
Cache read$0.180−74%
Output$1.40—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:maxhighlow

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would AionLabs: Aion 3.5 Mini cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$11.20
Coding agent5,0008,000 / 2,000$42.00
RAG pipeline30,0004,000 / 500$105.00
Doc summarizer2,00020,000 / 1,000$30.80

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About AionLabs: Aion 3.5 Mini

Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It is the smaller, lower-cost sibling of Aion 3.5 and uses...

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Frequently asked questions

How much does AionLabs: Aion 3.5 Mini cost?

AionLabs: Aion 3.5 Mini costs $0.700 per 1M input tokens and $1.40 per 1M output tokens; cached input tokens cost $0.180 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 33K output tokens per response. That's roughly 328 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.180/1M, about 74% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 97% on a typical workload with comparable quality.

Official resources