Key facts
| Chat models | 30+ models in one catalogue, from free tiers to frontier reasoning |
| Embeddings | Embeddings API is live for RAG and semantic search |
| Rerank | Verify current endpoint status in the docs before consolidating retrieval |
| Pricing | Flat monthly self-serve plans with unlimited fair-use usage |
| Free tier | plugsky-micro and plugsky-lite, no card required |
| Trial | 14-day full-access trial for stronger models |
| Deployment | Plugsky cloud, your VPC, on-prem and air-gapped |
TL;DR
- Chat and embeddings map cleanly to Plugsky; validate quality on your corpus.
- OpenAI-compatible calls keep SDKs, RAG frameworks and agents portable.
- Flat monthly pricing replaces usage-based arithmetic on self-serve.
- Free tier and a 14-day full-access trial cover evaluation.
- If Rerank is essential, confirm endpoint status before migrating retrieval.
How it works, step by step
- Inventory Cohere usage: Command chat, Embed, Rerank and any classification flows.
- Re-embed a representative slice of your corpus with Plugsky and compare retrieval quality.
- Migrate chat and embeddings call sites to the OpenAI-compatible endpoint.
- Keep Cohere for any capability Plugsky does not currently expose.
- Run end-to-end evals on your RAG pipeline, not just isolated model tests.
- Cut over gradually and keep your re-indexing pipeline reversible.
Try it yourself
Open the Cohere API cost calculator →
What teams use Cohere for
Cohere built its reputation on enterprise language tasks: chat with Command models, embeddings for search, and reranking to sharpen retrieval. Its multilingual embedding work is widely respected, and the platform is often chosen by teams that want a focused NLP vendor rather than a general cloud provider.
Those use cases line up well with what Plugsky offers for text: OpenAI-compatible chat, a live embeddings API, and the RAG and agent primitives around them. The practical question is not whether the categories match, but whether your specific prompts and corpus behave as well after a re-embed.
Which parts map cleanly to Plugsky
Chat completions, streaming, JSON mode and function calling are live, as are embeddings and agents. Because the API is OpenAI-compatible, frameworks such as LlamaIndex or Haystack that already speak that schema keep working, and one key covers both generation and embedding calls.
- Re-embed your corpus and compare retrieval metrics before switching.
- Route chat traffic with a canary and compare answer quality.
- Keep prompts and evals versioned so rollback is cheap.
- Use one embedding model per index to avoid mixed-vector bugs.
Migration notes and honest gaps
Reranking deserves its own check: confirm the current endpoint status in the Plugsky docs before you consolidate a retrieval stack that depends on it. Fine-tuning is coming soon, as are audio, image, moderation, files, batch, assistants and responses endpoints. If your product leans on any of those, keep the relevant calls on Cohere or another provider for now.
What Plugsky adds is deployment flexibility and cost clarity: region selection, VPC, on-prem and air-gapped options, plus flat monthly self-serve pricing. See the live pricing page for current plans, and start on the free plan with plugsky-micro and plugsky-lite.
Honest comparison
| Capability | Plugsky | Cohere API | Self-hosting open models |
|---|---|---|---|
| Chat and tools | OpenAI-compatible, live | Command models | You run inference |
| Embeddings | Live, multilingual options | Strong embedding family | Open embedding models |
| Rerank | Check status in docs | Rerank is a core product | Open rerankers available |
| Pricing shape | Flat monthly self-serve | Usage-based | GPU plus ops cost |
| Deployment | Cloud, VPC, on-prem, air-gapped | Managed API | You own the stack |
Frequently asked questions
Can Plugsky replace Cohere Embed?
For many corpora, yes. Re-embed a representative slice and compare retrieval quality before you re-index production; embeddings quality is dataset-specific.
Does Plugsky have a rerank endpoint?
Check the current status in the Plugsky docs before consolidating a retrieval stack that depends on reranking.
Is there a free plan?
Yes. The free plan includes plugsky-micro and plugsky-lite with no credit card, and a 14-day full-access trial covers stronger models.
How is pricing structured?
Self-serve plans are flat monthly with unlimited fair-use usage and no per-token billing. See the live pricing page for current plans.
Can I migrate my RAG pipeline gradually?
Yes. Move embeddings first, validate retrieval, then shift generation. Keep the old index until the new one passes your evaluations.
Does Plugsky support enterprise deployment?
Yes. VPC, on-prem and air-gapped deployments are available, with region selection for residency requirements.
What endpoints are coming soon?
Audio, images, moderation, files, batch, fine-tuning, assistants and responses. Chat, embeddings, RAG and agents are live today.