Perceptron: Perceptron Mk1.5✓ Catalog verified
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,...
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,...
Access: available through the official Perceptron API. Context window: 37K.
Specifications
| API identifier | perceptron/perceptron-mk1.5 |
| Provider | Perceptron |
| Model type | Multimodal LLM |
| Context window | 37K catalog |
| Input modalities | text · image · video · audio |
| Output modalities | text |
| Released | Sep 25, 2026 |
| Moderated | No |
| Architecture modality | text+image+audio+video->text |
Pricing
Live pricing components for perceptron/perceptron-mk1.5 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.5e-7 | $0.15 / 1M | Per input token |
| Completion tokens | $0.0000015 | $1.50 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.38Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | ✓ Supported | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Perceptron: Perceptron Mk1.5 through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="perceptron/perceptron-mk1.5",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AllenAI: Molmo2 8B | Allenai | 37K | $0.20 | View → |
| AionLabs: Aion-RP 1.0 (8B) | Aion Labs | 33K | $0.80 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Perceptron: Perceptron Mk1.5 cost?
$0.15 per 1M input tokens and $1.50 per 1M output tokens on the official Perceptron API.
What is the context window of Perceptron: Perceptron Mk1.5?
Perceptron: Perceptron Mk1.5 supports up to 37K tokens of context.
Does Perceptron: Perceptron Mk1.5 support tool / function calling?
Yes, Perceptron: Perceptron Mk1.5 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Perceptron: Perceptron Mk1.5?
Use the official Perceptron API with the model id `perceptron/perceptron-mk1.5`. See the Quick start section above for code examples.