FAQ + Objections

Which models does Plugsky support?

Plugsky exposes 30+ models through one OpenAI-compatible API. The range spans free-tier chat models (plugsky-micro, plugsky-lite), a coding model (plugsky-coder), faster and stronger reasoning tiers (plugsky-deepseek-flash, plugsky-deepseek-pro, plugsky-max, plugsky-frontier), long-context and open-weight families, plus embedding models (plugsky-embed, plugsky-embed-multilingual). The live model catalogue on the site is the authoritative list.

Key facts

Model count30+ models behind one OpenAI-compatible API
Free tierplugsky-micro and plugsky-lite on the free plan, no card
Codingplugsky-coder
Reasoning and generalplugsky-deepseek-flash, plugsky-deepseek-pro, plugsky-max, plugsky-frontier
Open-weight familiesIncludes Llama 4, Gemma, Mistral, Kimi, MiniMax, GPT-OSS and DeepSeek-class models
Embeddingsplugsky-embed and plugsky-embed-multilingual
Catalogue sourceThe live /models page is authoritative and updated
Coming soonAudio, images, moderation, files, batch, fine-tuning, assistants, responses endpoints

TL;DR

  • 30+ models, one API, one integration.
  • Free plan covers plugsky-micro and plugsky-lite with no card.
  • Coding, reasoning, long-context and embedding models are all live.
  • Open-weight families sit alongside Plugsky's own model tiers.
  • Always confirm against the live catalogue; model line-ups change.

How it works, step by step

  1. List your workloads and classify what each needs: speed, reasoning, context, embeddings.
  2. Shortlist two or three models per workload from the live catalogue.
  3. Benchmark candidates on your own evaluation set, not generic leaderboards.
  4. Pin chosen models or aliases in configuration rather than hard-coding them.
  5. Enable fallback to a second model for each critical path.
  6. Revisit the catalogue quarterly and re-run evals when models update.
1List your workloadsand classify whateach needs: speed,2Shortlist two orthree models perworkload from the3Benchmarkcandidates on yourown evaluation set,4Pin chosen modelsor aliases inconfiguration5Enable fallback toa second model foreach critical path.6Revisit thecatalogue quarterlyand re-run evals

Try it yourself

Open the model availability tracker →

How the catalogue is organised

Think in tiers rather than memorising names:

  • Free tier: plugsky-micro and plugsky-lite, included on the free plan and suitable for prototyping, classification and light generation.
  • Everyday workhorses: fast, economical models including plugsky-deepseek-flash and plugsky-coder for volume and coding.
  • Reasoning tier: plugsky-deepseek-pro, plugsky-max and plugsky-frontier for harder tasks.
  • Specialised: plugsky-longctx for large contexts and plugsky-embed/plugsky-embed-multilingual for retrieval.
  • Open-weight families: models in the Llama 4, Gemma, Mistral, Kimi, MiniMax, GPT-OSS and DeepSeek classes.

Every model uses the same API, so switching is a configuration change. The model catalogue is the authoritative, current list.

Models versus endpoints

Two different questions get confused: which models are available, and which API surfaces exist. Plugsky's chat, streaming, JSON mode, function calling and embeddings endpoints are live across the current catalogue. Other surfaces — audio, images, moderation, files, batch, fine-tuning, assistants and responses — are coming soon and are not part of the live API today. So it is accurate to say Plugsky supports a broad model catalogue through the chat and embedding endpoints, while specialist endpoints are still on the roadmap. Check the docs for the endpoint matrix before designing around any single capability.

What we do and what we do not do

What we do: keep a broad catalogue behind one stable API, document model aliases and capabilities, and update the live catalogue as models are added or retired. What we do not do: promise that a model listed today will remain forever — line-ups change across the industry, and we would rather retire a model transparently than keep a stale name alive. Pin versions or aliases where stability matters, re-run evaluations periodically, and treat the catalogue page, not this article, as the source of truth.

Honest comparison

NeedPlugskySingle-vendor APISelf-hosted stack
Model breadth30+ models, one APIVendor family onlyWhatever you deploy
Free tierplugsky-micro and plugsky-lite, no cardVariesHardware cost
Coding modelsplugsky-coder and othersVendor-dependentOpen-weight options
Embeddingsplugsky-embed family, liveOften separate serviceYou operate it
Endpoint coverageChat and embeddings live; more coming soonVariesYou build everything
Operational effortLowLowHigh

Frequently asked questions

How many models does Plugsky support?

30+ models are available behind one OpenAI-compatible API, spanning free-tier chat models, coding, reasoning, long-context, open-weight families and embeddings.

Which models are free?

The free plan includes plugsky-micro and plugsky-lite with no card required. The 14-day full-access trial covers stronger models.

Which model should I pick for coding?

Start with plugsky-coder for everyday coding and escalate complex refactors to a stronger reasoning model. Validate on your own repository.

Are open-weight models available?

Yes — the catalogue includes open-weight families such as Llama 4, Gemma, Mistral, Kimi, MiniMax, GPT-OSS and DeepSeek-class models, all behind the same API.

Where is the authoritative model list?

The live model catalogue page. This article summarises the shape of the catalogue, but the site page is updated as models change.

Do all models support the same features?

No. Chat, streaming, JSON mode and function calling availability varies by model. Check the capability matrix before depending on a feature.

Are audio, image and fine-tuning models available?

Those endpoints are coming soon, not live. Today's API covers chat, streaming, JSON mode, function calling and embeddings.