Key facts
| Model class | Mistral-family profile in the Plugsky catalogue |
| Best for | Long-context chat, general work and Mistral-standardised pipelines |
| Context class | 128K-class window; live limits are published per model |
| Capabilities | Streaming, function calling, JSON mode and long-context inputs |
| Pricing tier | Paid-plan model; free plan covers plugsky-micro and plugsky-lite |
| API | OpenAI-compatible /v1/chat/completions — keep your SDK |
| Availability | Routed with same-profile fallback; live upstream is shown at /models |
| Product status | Live |
TL;DR
- A Mistral-family profile for teams with Mistral-facing standards.
- Long-context chat and general work on the OpenAI-compatible API.
- Latency can vary by routing — measure before putting it on a hot path.
- Compare with plugsky-kimi and plugsky-longctx for long-prompt workloads.
- Same-profile fallback keeps the profile available during incidents.
How it works, step by step
- Read the live card at /models for the current window, features and serving engine.
- Measure latency on representative prompts before using it in a hot path.
- Test quality on your main workloads: chat, extraction and long inputs.
- Compare against plugsky-kimi and plugsky-longctx on long-prompt tasks.
- Switch the model name and keep a faster default for latency-sensitive routes.
- Monitor routing changes at /models so results stay interpretable.
- Re-run your evaluation after catalogue updates.
Try it yourself
Open the LLM cost calculator →
What plugsky-mistral-medium is
plugsky-mistral-medium is the Mistral-family profile in the Plugsky catalogue. It exists for two audiences: teams whose tooling, skills or standards already centre on Mistral models, and teams that want a Mistral-style alternative behind the same OpenAI-compatible API as the rest of the catalogue. It handles long-context chat and general work with streaming, function calling and JSON mode.
Latency and the engine serving the profile can vary as platform routing changes, so the live card at /models is the page to check before putting it on a latency-sensitive path.
When to choose it
Choose plugsky-mistral-medium when Mistral compatibility is a requirement — for example, prompt libraries or evaluations built around Mistral behaviour — or when you want a long-context chat model with an independent lineage from the rest of your stack. It is also a reasonable general-purpose option for chat and extraction work.
For long-document synthesis, compare with plugsky-kimi and plugsky-longctx. For everyday production traffic with tighter latency expectations, a workhorse model such as plugsky-pro may be the better default.
Latency, routing and cost trade-offs
Family profiles are route-served: they are kept available by falling back to same-profile capacity. That is good for uptime, but it means latency and exact model identity can change, so measure rather than assume.
- Keep it off the hottest path unless your measurements support it.
- Record model metadata in responses so routing changes are visible.
- Use JSON mode with validation for structured workloads.
- Run a small regression suite after catalogue updates.
- Self-serve plans are flat monthly with fair-use usage — see the live pricing page for current plans.
How to switch to plugsky-mistral-medium
Switching is one model name on the OpenAI-compatible endpoint: {"model": "plugsky-mistral-medium", "messages": [{"role": "user", "content": "Summarise this 60-page report and list the decisions."}]}.
Shadow-test against your current model, check latency percentiles on real prompts, then route the workload slice it wins. Keep a faster model as the default for interactive routes.
Honest comparison
| Dimension | plugsky-mistral-medium | plugsky-kimi | plugsky-pro |
|---|---|---|---|
| Best fit | Mistral-standardised teams and long-context chat | Cross-document synthesis and bilingual work | Everyday production workhorse |
| Family | Mistral profile | Long-context profile | Platform default profile |
| Latency profile | Can vary with routing — measure it | Balanced | Balanced |
| Tools and JSON mode | Supported | Supported | Supported |
| Context class | 128K-class | 128K-class | 128K-class |
| Failover | Automatic same-profile fallback | Automatic same-profile fallback | Automatic peer fallback |
Frequently asked questions
Is plugsky-mistral-medium free?
No — it is a paid-plan model. The free plan includes two free models, plugsky-micro and plugsky-lite. A 14-day full-access trial is available for paid tiers.
What context window does it have?
It is 128K-class today. The exact live window and output limit are published per model at /models.
Why does latency vary?
Family profiles are kept available through routing, which can move between engines. Measure on your own prompts and treat /models as the source of truth for what is serving the model.
Does it support tools and structured output?
Yes — streaming, function calling and JSON mode are part of the shared OpenAI-compatible surface.
How is it different from other long-context models?
It carries a Mistral-family lineage and profile. Compare it with plugsky-kimi and plugsky-longctx on the same documents and choose on measured results.
Should I use it for a latency-sensitive app?
Only after measuring. If response time is critical, use a measured-fast model as the default and route long-context or Mistral-specific work to this profile.
How do I migrate from the Mistral API?
Change the base URL to the Plugsky endpoint and set the model name. Because the endpoint is OpenAI-compatible, you may also simplify to an OpenAI-style client.
How is pricing structured?
Self-serve plans are flat monthly with fair-use usage and no per-token billing. See the live pricing page for current plans.