Key facts
| Provider | Moonshot AI — Kimi models with long context and tool-use focus |
| API style | OpenAI-compatible endpoints with function-calling support |
| Plugsky API | OpenAI-compatible /v1/chat/completions — change the base URL, keep your SDK |
| Models | 30+ models from free to frontier behind one API key |
| Pricing | Flat monthly plans with unlimited fair-use usage; no per-token billing on self-serve |
| Free tier | Free plan with plugsky-micro and plugsky-lite, no card; 14-day full-access trial |
| Deployment | Plugsky cloud, your VPC, on-prem or air-gapped; region choice for residency |
| Live vs roadmap | Chat, streaming, JSON mode, function calling, embeddings, RAG, agents live; audio, images, moderation, files, batch, fine-tuning, assistants, responses coming soon |
TL;DR
- Both APIs accept OpenAI-format requests, so client code is portable.
- Kimi specialises in long context and agentic workloads.
- Plugsky spans 30+ models with flat monthly self-serve pricing and a free tier.
- 14-day full-access trial covers paid models on Plugsky.
- Honest trade-off: Kimi's exact model behaviour stays with Moonshot.
How it works, step by step
- Collect the agent and long-context prompts that define your quality bar.
- Create a Plugsky account and map each workload to a Plugsky tier.
- Run both APIs against the same evaluation suite, including tool-call chains.
- Compare failure modes: dropped calls, context truncation and refusal behaviour.
- Route workloads to Kimi where its behaviour is required, Plugsky elsewhere.
- Keep one OpenAI-compatible client so the split stays configurable.
Original data
Try it yourself
Open the Kimi API cost calculator →
What the Kimi API is built for
Kimi's positioning is long context plus agency: models that keep track of long documents and execute multi-step tool workflows, with OpenAI-compatible endpoints that slot into existing agent frameworks. For document-heavy assistants and coding copilots, that focus is valuable.
The limitations are scope and control. A single model family cannot cover every price-performance point, usage-based billing makes heavy context expansion expensive to forecast, and hosting remains with the vendor.
What Plugsky is built for
Plugsky's design centre is the platform, not one model. Thirty-plus models behind one OpenAI-compatible API let you assign cheap models to simple steps and stronger models to hard ones within the same agent graph. The free plan covers plugsky-micro and plugsky-lite, and a 14-day full-access trial covers paid models.
Flat monthly self-serve pricing with unlimited fair-use usage (live pricing) makes multi-step agents affordable to run without token-level anxiety. Enterprise deployments reach your VPC, on-prem or air-gapped with region selection. Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live; audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon.
Choosing per workflow
Agents rarely need one model for everything, which is exactly why catalogue breadth helps.
- Long-document analysis: test recall across the full context window, not just the prompt.
- Tool orchestration: compare dropped-call rates and retry behaviour.
- Cost: flat pricing rewards heavier context use; per-token billing punishes it.
- Portability: OpenAI-format clients keep every option open.
Finally, test failure handling in agent loops. Retries, timeouts and partial tool results are where integrations break first, and both APIs should be compared on those paths, not just on happy-path completions.
Honest comparison
| Capability | Plugsky | Kimi API | Building in-house |
|---|---|---|---|
| API style | OpenAI-compatible drop-in | OpenAI-compatible Kimi endpoints | You define the schema |
| Focus | Catalogue breadth, pricing and deployment | Long context and agentic model behaviour | You build everything |
| Catalogue | 30+ models, free to frontier | Kimi model family | You host each model |
| Billing | Flat monthly, unlimited fair use (see live pricing) | Usage-based billing | GPU + ops cost |
| Residency | Region choice, VPC, on-prem, air-gapped | Vendor-hosted cloud | You control the infrastructure |
| Honest gap | Kimi's exact long-context behaviour | Specialised context and agent performance | You build it |
Frequently asked questions
Are the APIs compatible?
Both expose OpenAI-format chat completions with tool calling, so moving a client is typically a base URL and model-name change.
Which is better for long context?
Kimi is known for long-context work. Plugsky offers long-context tiers; test recall on your documents to decide, since advertised window size is not the same as quality.
Is there a free plan on Plugsky?
Yes — plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial is available.
How is Plugsky priced?
Flat monthly self-serve plans with unlimited fair-use usage and no per-token billing. See the live pricing page.
Can I build agents on Plugsky?
Yes. Function calling and agents are live, alongside embeddings and RAG support.
Can I use both providers?
Yes. A common pattern is Kimi for its signature workloads and Plugsky for the rest of the agent graph.
Does Plugsky support private deployment?
Yes — VPC, on-prem and air-gapped deployments are available for enterprise customers.