Jev alternatives

Jev is TypeSafe AI's decision model: send text state plus typed questions (choice, score, yes/no) and get structured answers with calibrated probabilities instead of generated text. It costs $0.042 per million input tokens, output free, and is in early access. Buyers look elsewhere for a larger vendor, longer context, generation, or a model they can host.

Jev alternatives at a glance

Prices read from each vendor's own pricing page on November 2, 2026. Vendors change plans often; follow the pricing link on each card to confirm.

When to choose each one

• Fastino GLiDE

  $0.04 per 1M input tokens, output $0 (GLiDE)

  Choose it when: you want a decision model priced like Jev, with output free, from a lab that also ships open-weight GLiNER models at $0.03 per 1M input tokens and a training API for custom versions.

  fastino.ai ↗Pricing page ↗

• OpenAI Decisions API

  gpt-6-luna: $0.10 per 1M input, $0.50 per 1M output (Standard)

  Choose it when: you want predicate, choice and score questions from a large vendor, with images, JSON and conversation history as input, up to 400 questions per request and prompt caching; it is generally available rather than early access.

  developers.openai.com ↗Pricing page ↗OpenAI Decisions API on Stork →

• Gemini 3.1 Flash-Lite

  $0.25 per 1M input tokens, $1.50 per 1M output (paid tier) · Free: Yes: free tier with input and output free of charge

  Choose it when: you want a cheap general model that can also generate text and read images, video and audio, and you can enforce structure with structured output; the free tier lets you test without paying.

  ai.google.dev ↗Pricing page ↗Gemini 3.1 Flash-Lite on Stork →

• Cerebras Inference

  $0.35 per 1M input, $0.75 per 1M output (GPT OSS 120B, Developer tier) · Free: Yes: one-time $5 promotional credit with a payment method, expires in 30 days

  Choose it when: speed is the reason you looked at Jev but you also need generation; Cerebras lists GPT OSS 120B at about 3,000 tokens per second on open-weight models.

  cerebras.ai ↗Pricing page ↗

• Hugging Face Inference Endpoints

  From $0.033/hour (dedicated CPU endpoint)

  Choose it when: you have labeled data and want a dedicated, autoscaling endpoint for your own small classifier, paying per hour of compute rather than per token, with no cold starts.

  huggingface.co ↗Pricing page ↗Hugging Face Inference Endpoints on Stork →

Why people look for Jev alternatives

• TypeSafe's own notes list weak spots: numeric precision, date comparisons, multi-hop indirection and very literal reading of instructions (Jev 1.13 jaggedness doc).
• Jev does not generate text and its models page lists text input only, with no audio or video, so written output still needs an LLM (TypeSafe docs).
• Context is capped at 64k tokens per request and 32k per question unless you send a header TypeSafe calls Danger-Zone long context (models page).
• It is in early access and TypeSafe writes it cannot prove its pricing is not subsidized, a risk for teams planning long-term unit costs (launch post).

Frequently asked questions