Perceptron Mk1.5

Perceptron Mk1.5 by perceptron excels in the Coding category, where it ranks #238 with a composite score of 40/100. Perceptron Mk1.5 is Perceptron's perception model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, and clips.... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Perceptron Mk1.5 is priced at $0.15 per million input tokens and $1.50 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Perceptron Mk1.5 holds rank #238 out of 441 models tracked. Its quality rank is #238 and adoption rank is #238. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Perceptron Mk1.5 has been evaluated across 5 different signals. Its strongest areas include Capabilities (83/100), Pricing (99/100), Context Window (73/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

Perceptron Mk1.5 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check perceptron's website for current free tier availability and promotional offers.

Perceptron Mk1.5 supports a 37K token context window (36,864 tokens total). That translates to roughly 27,648 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Perceptron Mk1.5 can generate up to 8K output tokens (8,192 tokens) per response. That is roughly 6,144 words. Sufficient for typical conversations, code snippets, and summaries.

Perceptron Mk1.5 supports image understanding (vision), function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Perceptron Mk1.5 was developed by perceptron. It was released on September 25, 2026. You can access it through perceptron's API. Check our provider page for all models from perceptron and how they compare against each other.

Pick Perceptron Mk1.5 when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Perceptron Mk1.5 through perceptron's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.