Skip to content
ModelCap

Head-to-head comparison

Perceptron Mk1 vs Relace Apply 3

Perceptron Mk1 (Perceptron) and Relace Apply 3 (Relace) 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 17 August 2026

As of 17 August 2026, Perceptron Mk1 holds the stronger ModelCap Index position (#151 vs #154); Relace Apply 3 is 1.2× cheaper per output token ($1.25/1M vs $1.50/1M); and Relace Apply 3 offers the longer context window (256K vs 33K tokens).

Which should you choose?

Choose Perceptron Mk1 if…

  • you want the stronger overall ModelCap Index position — #151 against #154 (22.5 vs 22.5 points).
  • your workload is prompt-heavy — input tokens cost $0.15/1M against $0.85/1M.
  • you want the more recently listed model — Perceptron Mk1 was listed 12 May 2026, Relace Apply 3 26 September 2025.

Choose Relace Apply 3 if…

  • API cost matters — $1.25/1M output tokens against $1.50/1M, about 1.2× cheaper.
  • you need the longer context window — 256K tokens against 33K.

Perceptron Mk1 vs Relace Apply 3: specs, pricing and context

Specification comparison of Perceptron Mk1 and Relace Apply 3
FieldPerceptron Mk1PerceptronRelace Apply 3Relace
ModelCap Index position#151#154
Index score22.522.5
EvidenceEstimatedEstimated
Input price / 1M tokens$0.15$0.85
Output price / 1M tokens$1.50$1.25
Context window33K tokens256K tokens
Max output tokens8K128K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesText, Image, VideoText
First listed12 May 202626 September 2025
PublisherPerceptronRelace

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

Benchmark scores: Perceptron Mk1 vs Relace Apply 3

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.

Perceptron Mk1 vs Relace Apply 3: common questions

Is Perceptron Mk1 better than Relace Apply 3?

Perceptron Mk1 ranks higher on the ModelCap Index as of 17 August 2026: #151 against #154. 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 Perceptron Mk1 cheaper than Relace Apply 3?

Relace Apply 3 is cheaper on output tokens: $1.25/1M against $1.50/1M. Input tokens are $0.15/1M for Perceptron Mk1 and $0.85/1M for Relace Apply 3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Perceptron Mk1 or Relace Apply 3?

Relace Apply 3 has the larger context window: 256K tokens against 33K.

Which is better for coding, Perceptron Mk1 or Relace Apply 3?

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 Perceptron Mk1 and Relace Apply 3 open-weight models?

Perceptron Mk1: API only. Relace Apply 3: 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 Perceptron Mk1 and Relace Apply 3?

ModelCap currently lists 1 API provider for Perceptron Mk1 and 1 for Relace Apply 3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Perceptron Mk1 vs Relace Apply 3 comparison?

Every figure comes from the sealed ModelCap dataset published 17 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.

Explore further