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ModelCap

Aion 3.5

NewAPI only

Aion Labs

Aion 3.5 is a language model from Aion Labs. It does not hold a position on ModelCap's current board. It is listed at $3.00 per million input tokens and $6.00 per million output tokens from one provider. It reads up to 262K tokens of context and is available only through an API.

Figures as of 23 Sept 2026, 20:20 UTC · download the public dataset · methodology

ModelCap Index · Current board
Not scored
Market Gravity
21.8
Secondary market signal
Input
$3.00
per 1M tokens
Output
$6.00
per 1M tokens
Context
262K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AionLabs$3.00$6.00262K100.0%

Other versions (2)

ModelCap Index · Current board

Methodology
Not scored
Technical details
Public rank basis
Not scored (abstained)
Evidence label
Not scored · no public benchmark evidence
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · aion-labs/aion-labs/aion-3.5 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
1.0
Liquidity (providers × uptime)
35.3
Open reach (HF downloads)
Surface (context / tools / modalities)
75.3
Freshness
99.9
  • · OpenRouter popularity #313
  • · 1 live provider
  • · Catalogue: context 262144, reasoning, tools
  • · First seen 2026-09-23

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
232 models · 133 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
30.1
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
0.0

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
21.8
OpenRouter weekly popularity
#313 of 331

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
1.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.3

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
99.9

Time since first public availability, on a six-month half-life.

Specification

Model ID
aion-labs/aion-3.5
Context window
262K tokens
Max output
33K tokens
Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.75 / 1M
First seen on OpenRouter
23 Sept 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Aion 3.5: common questions

How does Aion 3.5 rank among AI models?

Aion 3.5 has no public ModelCap Index position as of 23 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Aion 3.5 cost per 1M tokens?

Aion 3.5 is listed at $3.00 per 1M input tokens and $6.00 per 1M output tokens as of 23 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $9.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Aion 3.5?

Aion 3.5 has a published context window of 262K tokens (262,144) and a maximum output of 33K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Aion 3.5 open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve Aion 3.5?

One provider serves Aion 3.5 through OpenRouter as of 23 September 2026: AionLabs. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was Aion 3.5 released?

Aion 3.5 first appeared in the catalogue on 23 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.