Perceptron Mk1.5
General purposeVisionToolsPerceptron · Released September 2026
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents.
It is part of Perceptron's Mk line, built for grounded perception and embodied reasoning rather than general chat, where Mk1.5 adds audio input, tool calling and structured annotations over Mk1.
Facts and pricing
- Provider
- Perceptron
- Context window
- 37K tokens
- Input price
- 1.8 credits / 1M tokens ($0.15 raw)
- Output price
- 18.0 credits / 1M tokens ($1.50 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.
Try Perceptron Mk1.5 now
What Perceptron Mk1.5 is best for
- Balanced everyday work: writing, questions, brainstorming and summarization
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a general purpose model like Perceptron Mk1.5:
- Help me outline a talk about what I learned this year
- Compare these two paragraphs and tell me which is clearer and why
- Draft a polite reply declining this invitation
- Explain this concept with a concrete everyday analogy
Perceptron family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Perceptron Mk1.5 | 37K | 1.8 | 18.0 | September 2026 |
| Perceptron Mk1 | 33K | 1.8 | 18.0 | May 2026 |
Frequently asked questions
- What is Perceptron Mk1.5?
- Perceptron Mk1.5 is an AI model by Perceptron. Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents.
- How much does Perceptron Mk1.5 cost on Zeplik?
- Input tokens cost 1.8 credits per million and output tokens 18.0 credits per million (1 credit = $0.10; the raw provider rates are $0.15 and $1.50 per million). New accounts start with free credits.
- How long can a conversation with Perceptron Mk1.5 be?
- Perceptron Mk1.5 has a 37K-token context window (36,864 tokens), which covers the conversation plus any documents you attach.
- Does Perceptron Mk1.5 support images and tools?
- Perceptron Mk1.5 accepts image input and supports tool calling.
Related models
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Apodex 1.1 Mini is a reasoning-first model from Apodex, built for complex, long-horizon research and forecasting tasks.
More you can do with Perceptron Mk1.5
- 467 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Perceptron Mk1.5 or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.