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Comparison · 2 models · Updated Nov 2, 2026

Motif 3 vs Aion-3.0-Mini

Too close to call on our weighted score (Motif 3 43, Aion-3.0-Mini 41). The right pick depends on what you value most.

  1. Motif Technologies

    Motif 3

    Released Aug 7, 2026

    43/100
    • ECI—
    • Price$0.50 / $2.00
    • Context262K
  2. Aion Labs

    Aion-3.0-Mini

    Released May 14, 2026

    41/100
    • ECI—
    • Price$0.70 / $1.40
    • Context131K
  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Motif 3 43/100, Aion-3.0-Mini 41/100), so choose by what matters most for your work: Motif 3 on price and Motif 3 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceSame priceMotif 3 $0.875 · Aion-3.0-Mini $0.875 per 1M tokens (3:1 blend)
  • Longest contextMotif 3Motif 3 262,144 · Aion-3.0-Mini 131,072 tokens
  • Widest inputsSame inputsMotif 3: Text · Aion-3.0-Mini: Text
  • Self-hostingMotif 3Publishes downloadable weights (MIT)
How the score is built
MeasureWeightMotif 3Aion-3.0-Mini
Price50%5050
Inputs & features30%3535
Context window20%3725
Overall100%43/10041/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Motif 3 vs Aion-3.0-Mini specifications side by side
SpecificationMotif 3Motif TechnologiesAion-3.0-MiniAion Labs
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.50 (best)$0.70
Output$2.00$1.40 (best)
Cached input——
Blended (3:1)$0.875$0.875
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 4 providers
Limits
Context window262,144 tokens (best)131,072 tokens
Max output262,144 tokens (best)32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenMITProprietary
API model ID——
API providers14 (best)
ReleasedAug 7, 2026May 14, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Motif 3$9.00
  • Aion-3.0-Mini$9.80
04 — Questions

Which should you choose?

Which is better: Motif 3 or Aion-3.0-Mini?

It is close. Our weighted score puts them within 2 points (Motif 3 43/100, Aion-3.0-Mini 41/100), so choose by what matters most for your work: Motif 3 on price and Motif 3 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Motif 3 or Aion-3.0-Mini?

Motif 3 and Aion-3.0-Mini cost the same: $0.50 input / $2.00 output per million tokens.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Motif 3 has not been scored yet and Aion-3.0-Mini has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Motif 3 and Aion-3.0-Mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Motif 3 has the largest context window at 262,144 tokens, against 131,072 for Aion-3.0-Mini. Maximum output per response: Motif 3 up to 262,144, Aion-3.0-Mini up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Motif 3 accepts text; Aion-3.0-Mini accepts text. They handle the same number of input types.

Are any of these open source?

Motif 3 publishes its weights (MIT) and can be self-hosted; Aion-3.0-Mini is proprietary.

Which is newer?

Motif 3 is the newest, released Aug 7, 2026. Aion-3.0-Mini came out May 14, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.