MODEL PROFILE

Perceptron Mk1.5

perceptron · perceptron-mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

Text generationreasoningstructured_outputstools
Context window36,864 Token
Input → OutputText、Image、Video、Audio → Text
Model weightsNot verified
Profile updated2026/11/7 01:45:07
OVERVIEW

Model overview

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Supports multimodal input: text, image, video, and audio
  • Generates text outputs with optional structured annotations (e.g., points, boxes, polygons, tracks)
  • Designed for embodied reasoning in physical agents

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · perceptron/perceptron-mk1.5 ↗USD 0.15USD 1.5Per million tokens2026/11/2 06:25:22

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What modalities can Perceptron Mk1.5 process?

It accepts text, image, video, and audio input.

Does Perceptron Mk1.5 support structured output formats?

Yes — it can output text plus optional structured annotations such as points, boxes, polygons, and tracks.

What is the primary use case for Perceptron Mk1.5?

It is designed as an embodied reasoning model for physical agents.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。