# Simple-jev by featherless AI – Turn context into clear decisions

> Source: <https://simple-jev.featherless.ai/>
> Published: 2026-09-22 22:34:36+00:00

### Bring the whole conversation.

              We support chat-format context. Send a conversation as
              `messages` with roles, then ask questions about the
              exchange—not just the last message.
            

[Explore chat context](docs.html#context)

OPEN MODELS. STRUCTURED DECISIONS.

Turn context into clear decisions.

            Give __any__ open model a message and a few questions.

            Get choices, scores, and answers your code can use.
            

[Source on Github here](https://github.com/featherless-ai/simple-jev) 

A little model.

A very specific job.

```
curl https://simple-jev-demo-api.featherless.ai/v1/classifier \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "featherless-ai/gemma-4-26B-A4B-classifier",
    "state": "Mia owns a red bicycle.",
    "questions": {
      "color": {
        "type": "choice",
        "instructions": "What color is Mia’s bicycle?",
        "criteria": {"red": null, "blue": null}
      }
    }
  }'

## For production usage and higher rate limits,
## please signup for a developer account at https://featherless.ai
{
  "color": {
    "type": "choice",
    "choice": "red",
    "confidence": 1,
    "probabilities": {
      "red": 1,
      "blue": 1.8874485308018052e-10
    }
  }
}
```

          Actual Gemma response, showing the `answers` field. Results
          may vary. Demo limits: 2k tokens · 4 requests/second.
          [Full API documentation ↗](docs.html)

01 / TRY IT

Edit scenarios, build questions, and see real model responses in the interactive playground.

SEE IT IN ACTION

MORE WAYS TO BRING CONTEXT

              Use images as context for your questions. Image and vision support
              is available for **Gemma and Qwen models only**.
            

02 / THE IDEA

            Use existing open language models as classifiers.

No separate
            classifier head required.
          

A message, chat history, or structured state. Ask several questions about the same input.

We read the next-token logits for the allowed labels and reuse the shared prompt cache across questions.

Your application receives structured JSON. Route a ticket, rank a result, or choose the next step.

ONE MORE THING

**Really Fancy Decision Training.** Bring examples
              and answers—or ask a larger teacher model to label them. RFDT
              fine-tunes the decisions your application actually needs.
            

READY FOR MORE?

            Simple Jev models on Featherless start at
            **$0.03 per million input tokens**, with higher limits
            on developer plans. Currently in beta.

Support for hosted
            fine-tuned models and fine-tuning is on the way as usage grows.
          

*Prices may change after beta. Refer to
              [Featherless.ai official pricing](https://featherless.ai/)
              for up-to-date information.