That's NeuralModel catalog

perceptron

Perceptron: Perceptron Mk1

perceptron/perceptron-mk1

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

Perceptron/perceptron-mk1 is listed in the OpenRouter catalog as a vision-language model from Perceptron that takes text, image, and video inputs and returns text. The catalog describes it as intended for high-quality video and embodied reasoning, lists a 32,768-token context window, and exposes parameters including structured outputs and reasoning controls. Those are catalog-reported capabilities rather than independently measured results. No benchmark entries were supplied, and this source pack did not include an independent model card.[1]

Strengths

  • Accepts text, image, and video inputs while producing text output.[1]
  • The catalog positions the model for detailed visual understanding, video reasoning, and embodied reasoning.[1]
  • Catalog-listed request parameters include structured outputs and reasoning-related controls, although no reasoning effort levels are listed.[1]

Limitations

  • Evidence comes only from the OpenRouter catalog; an independent model card was not available in this source pack, so architecture, training data, licensing, and safety behavior remain unreported.[1]
  • The supplied benchmark fields contain no entries or measurements, leaving quality, latency, robustness, and comparative performance unverified.[1]
  • No knowledge cutoff is reported, and the 32,768-token context limit means suitability for long videos or large prompts should be validated on the intended workload.[1]

Where to use it

  • Evaluate for visual question answering, image or video description, and other tasks needing detailed visual interpretation.[1]
  • Prototype assistants that reason over video or embodied scenes, subject to workload-specific testing.[1]
  • Test visual-input workflows that require machine-readable text through the catalog-listed structured outputs parameter.[1]

Sources

  1. [1] OpenRouter catalog · Perceptron: Perceptron Mk1Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...

Specifications

Model ID
perceptron/perceptron-mk1
Canonical ID
perceptron/perceptron-mk1-20260512
Creator
perceptron
Added to OpenRouter
12.05.2026
Context length
32,768
Modality
text+image+video->text
Input modalities
text, image, video
Output modalities
text
Token pricing
USD per 1M tokens: in $0.150 / out $1.5
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: optional · parameters: include_reasoning, reasoning
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · parameters: include_reasoning, reasoning
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurementinput: video
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Perceptron32,768$0.150$1.5———

Provider data retrieved: 13.11.2026

No published articles identify this model yet.