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Head-to-head comparison

Aion-3.0 vs GPT-4o (2024-11-20)

Aion-3.0 (Aion Labs) and GPT-4o (2024-11-20) (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 22 August 2026

As of 22 August 2026, GPT-4o (2024-11-20) holds the stronger ModelCap Index position (#115 vs #118); Aion-3.0 is 1.7× cheaper per output token ($6.00/1M vs $10.00/1M); and Aion-3.0 offers the longer context window (131K vs 128K tokens).

Which should you choose?

Choose Aion-3.0 if…

  • API cost matters — $6.00/1M output tokens against $10.00/1M, about 1.7× cheaper.
  • you need the longer context window — 131K tokens against 128K.
  • you want the more recently listed model — Aion-3.0 was listed 7 July 2026, GPT-4o (2024-11-20) 20 November 2024.

Choose GPT-4o (2024-11-20) if…

  • you want the stronger overall ModelCap Index position — #115 against #118 (22.4 vs 21.6 points).
  • your workload is prompt-heavy — input tokens cost $2.50/1M against $3.00/1M.

Aion-3.0 vs GPT-4o (2024-11-20): specs, pricing and context

Specification comparison of Aion-3.0 and GPT-4o (2024-11-20)
FieldAion-3.0Aion LabsGPT-4o (2024-11-20)OpenAI
ModelCap Index position#118#115
Index score21.622.4
EvidenceEstimatedEstimated
Input price / 1M tokens$3.00$2.50
Output price / 1M tokens$6.00$10.00
Context window131K tokens128K tokens
Max output tokens33K16K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesTextText, Image, File
First listed7 July 202620 November 2024
PublisherAion LabsOpenAI

Evidence: global corpus prior · leave-one-anchor-out calibrated · publisher corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Aion-3.0 vs GPT-4o (2024-11-20)

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Aion-3.0 vs GPT-4o (2024-11-20): common questions

Is Aion-3.0 better than GPT-4o (2024-11-20)?

GPT-4o (2024-11-20) ranks higher on the ModelCap Index as of 22 August 2026: #115 against #118. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Aion-3.0 cheaper than GPT-4o (2024-11-20)?

Aion-3.0 is cheaper on output tokens: $6.00/1M against $10.00/1M. Input tokens are $3.00/1M for Aion-3.0 and $2.50/1M for GPT-4o (2024-11-20). Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Aion-3.0 or GPT-4o (2024-11-20)?

Aion-3.0 has the larger context window: 131K tokens against 128K.

Which is better for coding, Aion-3.0 or GPT-4o (2024-11-20)?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Aion-3.0 and GPT-4o (2024-11-20) open-weight models?

Aion-3.0: API only. GPT-4o (2024-11-20): API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Aion-3.0 and GPT-4o (2024-11-20)?

ModelCap currently lists 1 API provider for Aion-3.0 and 1 for GPT-4o (2024-11-20), from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Aion-3.0 vs GPT-4o (2024-11-20) comparison?

Every figure comes from the sealed ModelCap dataset published 22 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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