OPEN MODELS. STRUCTURED DECISIONS.

Turn context into
clear decisions.

Give an open model a message and a few questions.
Get choices, scores, and answers your code can use.

Simple Jev's orange-suited robot mascot pointing at a decision dashboard

A little model.
A very specific job.

Try the demo API in one request

No login. No API key. (Limited to 2k context, and 4 RPS)
Request · curl
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
Response · answers
{
  "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 ↗

01 / TRY IT

Your context. Your questions.

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

Open the playground

SEE IT IN ACTION

Small decisions. Cool demos.

MORE WAYS TO BRING CONTEXT

Conversations. Images. Decisions.

CHAT HISTORY

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
IMAGES & VISION

Ask about what the model sees.

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

The playground demonstrates text input.

02 / THE IDEA

Let the model decide.
Let your code do the rest.

Use existing open language models as classifiers.
No separate classifier head required.

01

Bring the context

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

02

Score the possible answers

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

03

Put the decisions to work

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

ONE MORE THING

Your task.
Your smaller, sharper model.

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.

Explore RFDT
YOUR EXAMPLES
Your answersor a teacher
RFDTTrain the decision logits
A model for your task

READY FOR MORE?

Intelligence too cheap to meter.

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.

View per-model beta pricing ↗

*Prices may change after beta. Refer to Featherless.ai official pricing for up-to-date information.

Build on Featherless