Key facts
| Model class | Fast vision profile in the Plugsky catalogue |
| Best for | Screenshots, receipts, product photos, UI states and captioning |
| Context class | 128K-class window; live limits are published per model |
| Capabilities | Vision inputs, streaming and JSON mode |
| Pricing tier | Paid-plan model; free plan covers plugsky-micro and plugsky-lite |
| API | OpenAI-compatible /v1/chat/completions — no SDK changes |
| Resilience | Backup upstream plus same-profile fallback peers |
| Product status | Live |
TL;DR
- A fast first hop for high-volume visual triage.
- Best for screenshots, receipts, product photos and UI states.
- Images go in the chat messages array with streaming and JSON mode.
- Escalate for deep visual reasoning or tool-triggered actions.
- Image generation is a separate endpoint — verify status in the docs.
How it works, step by step
- Read the live model card at /models for vision flags and limits.
- Pick a high-volume image task with a simple output.
- Send a resized image with a short, explicit instruction.
- Ask for JSON when downstream code needs structured fields.
- Escalate low-confidence results to a stronger vision-capable tier.
- Score accuracy on a labelled image set and monitor latency percentiles.
Try it yourself
What plugsky-vision-fast is
plugsky-vision-fast is the fast vision profile in the Plugsky catalogue. It accepts images alongside text in the standard chat messages array and is aimed at quick, high-volume visual work: screenshot triage, receipt and label reading, product-photo questions, UI-state checks and captioning. It supports streaming and JSON mode on the OpenAI-compatible API, and is listed as 128K-class on the live model card.
Check /models for the current vision flags and routing before wiring constraints into your product.
When to choose it
Choose plugsky-vision-fast as the first vision hop in a pipeline. If the task is to decide what an image is, extract a small number of fields or answer a simple question about what is visible, a fast vision tier is usually enough and keeps volume affordable.
Escalate when the image requires reasoning about relationships, detailed multi-field extraction or an action through tools — for example to a vision-language tier such as plugsky-gemma-4, or to a stronger vision-capable general model. Test both on your own images; visual quality varies by task far more than text quality does.
Vision trade-offs
Image inputs shift the cost and failure profile of a request:
- Resize and crop before sending; extra resolution is wasted context.
- Send one relevant image, not a folder of near-duplicates.
- Extractions need schema validation — vision models can misread fields confidently.
- Keep hard cases in your evaluation set: glare, rotation, small text and dense UI.
- Remember that these models read images; image generation is a separate endpoint.
Self-serve plans are flat monthly with fair-use usage — see the live pricing page for current plans and limits.
How to switch to plugsky-vision-fast
Switching is one model name plus an image in the messages array: {"model": "plugsky-vision-fast", "messages": [{"role": "user", "content": [{"type": "text", "text": "What error is shown in this screenshot?"}, {"type": "image_url", "image_url": {"url": "..."}}]}]}.
Run it on a labelled sample of real images, compare accuracy and latency with your current approach, then adopt it as the first vision hop with a stronger tier behind it for escalations.
Honest comparison
| Dimension | plugsky-vision-fast | Vision-language tiers | Compact multimodal tiers |
|---|---|---|---|
| Best fit | High-volume image triage | Vision with tool calling | Simple extraction and captioning |
| Structured output | JSON mode | JSON mode | JSON mode on some tiers |
| Tool use | Limited | Yes | Limited |
| Context class | 128K-class | 128K-class | 128K-class |
| Use as | First vision hop | Escalation for actions | Specialist extraction |
| Plan | Paid | Paid | Paid |
Frequently asked questions
Is plugsky-vision-fast free?
No — it is a paid-plan model. The free plan covers plugsky-micro and plugsky-lite with no card required, and a 14-day full-access trial lets you evaluate paid tiers first.
What is plugsky-vision-fast best at?
High-volume visual triage: screenshots, receipts, labels, product photos, UI states and quick captioning where the output is simple and speed matters.
Can it generate images?
No — it accepts images as input. Image generation and editing are separate endpoints, so check the docs for their current status before designing around them.
How do I send an image?
Include it in the chat messages array alongside text, using the standard OpenAI-compatible multimodal shape. Resize first and send only what the task needs.
When should I escalate to another vision model?
When the image needs reasoning, detailed multi-field extraction or a tool-triggered action. Test the stronger tier on the same images before switching traffic.
How do I evaluate vision accuracy?
Build a labelled set per task with hard cases — rotation, glare, small text — and measure field-level or rubric-scored accuracy, not just fluent output.
How is pricing structured?
Self-serve plans are flat monthly with fair-use usage rather than per-token billing. See the live pricing page for current plans.