perceptron-mk1
Perceptron Mk1 (Mark One) is Perceptron’s vision-language model for video and embodied reasoning. It takes image and video input with natural-language questions and returns detailed visual understanding.
Pricing: Input 30 credits / 1M tokens (≈ $0.15), Output 300 credits / 1M tokens (≈ $1.50).
Prices updated
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Perceptron Mk1 API on ModelFold
Perceptron Mk1 (Mark One) is Perceptron’s vision-language model for video and embodied reasoning. It takes image and video input with natural-language questions and returns detailed visual understanding. Try Perceptron Mk1 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Perceptron Mk1 API
Perceptron Mk1 at a glance
Perceptron Mk1 is a chat model from Perceptron. It accepts text, images and video as input and returns text, with a context window of up to 33K tokens.
Use it without hosting anything
On ModelFold you call Perceptron Mk1 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Perceptron Mk1
Up to 33K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images and video
Besides text, Perceptron Mk1 accepts images and video as input, so a single request can combine instructions with visual or other media.
Reasoning mode
Perceptron Mk1 can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Perceptron Mk1 on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Perceptron Mk1 responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "perceptron-mk1" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Perceptron Mk1
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Frequently Asked Questions
What is Perceptron Mk1?⌄
Perceptron Mk1 (Mark One) is Perceptron’s vision-language model for video and embodied reasoning. It takes image and video input with natural-language questions and returns detailed visual understanding.
Which inputs does Perceptron Mk1 support?⌄
Perceptron Mk1 accepts text, images and video and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Perceptron Mk1?⌄
Up to 33K tokens, shared between your input and the model’s output.
Does Perceptron Mk1 support function calling?⌄
Function calling is not listed for Perceptron Mk1; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Perceptron Mk1 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Perceptron Mk1 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "perceptron-mk1", using your ModelFold API key as the Bearer token.
| Input | 30 credits 1M tokens≈ $0.15 |
| Output | 300 credits 1M tokens≈ $1.50 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"perceptron-mk1","messages":[{"role":"user","content":"Hello"}]}'