Decision Models / Jev alternatives: hosted models and open weights

Jev alternatives: hosted models and open weights

The registry has 54 entries, including Jev. The other 53 cover hosted and open-weight models, along with community projects and tools.

The registry supplies each summary and Price fact. Capability descriptions and prices are vendor-reported; model pages link labelled evidence. Community projects and tools have their own registry groups, separate from open weights.

Jev

• Jev by TypeSafe AI: A hosted API: send your app's state plus typed questions (Choice, Score or Noul) and get a probability back for each answer. Price (vendor-reported): $0.042 per million input tokens; output free. Source: Announcement → Source: Jev 1.14 → Source: Docs → Source: On OpenRouter → Compare prices

Hosted

• Decisions API by OpenAI: OpenAI's decision endpoint, announced at DevDay 2026. Price (vendor-reported): Not published. Source: API changelog → Source: DevDay announcement → Source: DevDay recap → Compare prices
• d1 by Liquid AI: Liquid AI's decision model family. Price (vendor-reported): OpenRouter lists d1 and d1.1 at $0.02 and d1-ultra at $0.042 per million input tokens, output free (as of 28 Oct 2026). Source: Docs → Source: Announcement → Source: Decision Index → Source: Open d1 release → Source: d1.1 on OpenRouter → Source: d1-2B → Compare prices
• Mercury Decide by Inception: Inception's decision model, served as a System One endpoint: send state and typed questions, get a choice, a score or a yes/no answer, each with a probability. Price (vendor-reported): $0.02 per million input tokens at a 50% discount, output free; a free tier remains (OpenRouter, as of 22 Oct 2026). Source: OpenRouter → Source: Announcement → Compare prices
• Solar Decide by Upstage: Upstage's decision endpoint, available through OpenRouter. Price (vendor-reported): OpenRouter lists $0.05 per million input tokens, output $0 (as of 2 Oct 2026); the launch post described a limited-time 50% discount. Source: OpenRouter → Source: OpenRouter announcement → Source: Solar Decide Flash → Compare prices
• Span-01 by Respan: A one-pass classifier for agent traces. Price (vendor-reported): $0.02 per million input tokens; output free. Source: Announcement → Source: Span-02 → Compare prices
• Decider 1 by meraGPT: A hosted decision model served only at /v1/systemone, the request format TypeSafe's SDK speaks. Price (vendor-reported): $0.03 per million input tokens; output $0. Source: meragpt.com → Compare prices
• Microsoft-Decision-1 by Microsoft: Microsoft's decision-scoring model for routing, classification, prioritisation, verification and workflow control. Price (vendor-reported): $0.042 per million input tokens; output free. Source: Announcement → Compare prices
• Clef-omni by Cloudflare: The Clef family on Workers AI answers typed questions in one pass. Price (vendor-reported): $0.150 per million input tokens. Source: Cloudflare changelog → Compare prices
• Snowflake Decision by Snowflake: A decision model you call from SQL. Source: Announcement → Source: Decision Fast → Compare prices
• Celeris-1-decision by Celeris: A closed decision model for text, structured data and images that can give a one-sentence reason alongside each probability. Price (vendor-reported): $0.04 per million input tokens; output free. Source: Announcement → Compare prices
• SubQ Snap by Subquadratic: A long-context decision model: each decision can read up to 384K tokens of text and images, aimed at agent workflows. Price (vendor-reported): $0.05 per million input tokens; output free. Source: Announcement → Compare prices
• Classify-1 by ScaleDown: Scores text or a whole document against your own choice, yes/no and ordered-scale questions. Source: Docs → Source: OpenRouter → Compare prices
• Clairic by Cloudflare: A new branch of the family: a System One extraction model. Source: Announcement → Compare prices
• Parallel Decisions API by Parallel: A decision engine that searches the live web before it answers. Price (vendor-reported): $1 per 1,000 calls (as of 25 Oct 2026). Source: Announcement → Source: Docs → Source: Benchmark → Source: Benchmark announcement → Compare prices
• Hume Audio Decisions API by Hume AI: Hume's hosted model answers questions about speech and sound with probabilities. Price (vendor-reported): $0.47 per million input tokens (audio, questions and context); answers not billed. Hume's billing docs, checked 03 Nov 2026. Source: Announcement → Source: Product and playground → Source: Docs → Source: Billing → Source: Audio preparation → Source: Launch changelog → Source: Python SDK → Compare prices
• Zoom Decisions API by Zoom: Zoom's hosted Decisions API and Decisions API Pro accept text, images or both. Price (vendor-reported): $0.042 per million tokens for Decisions API; $0.10 for Pro, per Zoom's product page checked 03 Nov 2026. Source: Product, playground and pricing → Source: Launch changelog → Compare prices
• LingDT-Decision-1.0 by Ant Digital Technologies (蚂蚁数科): Ant Digital Technologies' System One model for choosing answers to business questions, including native multi-select and decisions ordered by dependencies. Price (vendor-reported): Ant lists the 4B test endpoint at ¥0 per million input and output tokens during a free-trial period. Its pricing data also records an original input price of ¥0.30 per million tokens. Checked 03 Nov 2026; no trial end date was established. Source: DTMaaS model page → Source: Official model data and API example → Source: API guide → Source: Launch report (IT之家) → Source: Jev pricing source → Source: Microsoft-Decision-1 source → Compare prices

Open weights

• Kev by Jared Palmer: Kev is Jared Palmer's family of open, Jev-compatible decision models, from 0.8B to 27B parameters. Price (vendor-reported): $0.042 per million input tokens and $0 per million output tokens for jaredpalmer/kev-4b on OpenRouter (VENDOR-REPORTED, 2 Nov 2026). Source: GitHub → Source: Kev 1.0 release → Source: Hugging Face → Source: Kev 4B on OpenRouter → Source: GitHub API: stars → Compare prices
• DecisionTune 1.0 by DecisionTune: A local decision model built on ModernBERT-large: give it a state, a question and options, and it returns a probability for each option in one encoder pass. Source: Hugging Face → Compare prices
• Tev1-4B by Together AI: Together's Jev-inspired experiment: a Qwen3.5-4B fine-tune that reads a state, a question and 2 to 24 lettered options. Source: Hugging Face → Source: GitHub → Source: Announcement → Source: Untuned 4B baseline test → Compare prices
• GLiNER2.5-Decide by Fastino: A 340M-parameter encoder decision model from the team behind GLiNER, fine-tuned from GLiNER2. Source: Announcement → Source: Hugging Face → Compare prices
• Laya by Convai Innovations: A non-autoregressive decision engine on ModernBERT-large (421M), with a 322M multilingual sibling. Source: Site → Source: GitHub → Compare prices
• Nimble by Bespoke Labs: A 9B decision model, LoRA-tuned from Qwen3.5-9B, with its 2,676 training examples published. Source: GitHub → Source: Ollama → Source: Hugging Face → Source: Nimble README → Compare prices
• Decision 1.0 by vLLM Semantic Router: Open decision models from the vLLM Semantic Router project, published as "Decision 1.0: towards open decision foundation models". Source: Hugging Face → Source: Announcement PR → Source: d3 on Hugging Face → Compare prices
• Decider by Perplexity: Perplexity's decision model reads text and images and returns a probability for every answer. Price (vendor-reported): $0.02 (V1.2) and $0.01 (Flash) per million input tokens on OpenRouter, output free (as of 22 Oct 2026). Source: V1.2 announcement → Source: Hugging Face → Source: V1.1 announcement → Compare prices
• Drex 2.0 by Nace.AI: Drex 2.0 returns probabilities over typed answers for text, with open weights under Nace.AI's Open RAIL licence. Price (vendor-reported): $0.06 per million input tokens, hosted. Source: Model table → Source: Hugging Face → Compare prices
• H2O-Lightning-4B by H2O.ai: A 4B open model built on Qwen3.5-4B that runs on unmodified vLLM. Source: Announcement → Source: Hugging Face → Compare prices
• Jebadiah v2.1 by frontier-infra: Open decision models that read option-label probabilities in a single pass with thinking switched off: you get a pick and a confidence, not an essay. Source: Release post → Compare prices
• Lumma-Fev-27B by FrontiersMind: A 27B open decision model that answers in English, Hindi, Tamil and Kannada. Source: Release post → Compare prices
• Granite Switch 4.1 by IBM: IBM's switchable models do chat, decisions and speech-to-text from one endpoint. 4.1 adds a general-purpose Decision adapter that speaks the /v1/systemone interface. Source: Announcement → Compare prices
• TYGER by NineNineSix: A decision model for speech. Source: Hugging Face → Source: Announcement → Source: Voice agent → Compare prices
• Talos by Tractian: A decision model that stands between AI agents and the controllers that run factories. Source: GitHub → Source: Hugging Face → Compare prices
• Mammoth 1 by Baseten (Base Labs): Two open decision models from Base Labs, Baseten's research team: mammoth-1 (27B) and elephant-1 (9B), post-trained from Qwen3.5. Price (vendor-reported): OpenRouter lists mammoth-1 at $0.10, elephant-1 at $0.035 and joey-1 at $0.01 per million input tokens, output free (as of 30 Oct 2026). Source: Announcement → Source: Technical report → Source: mammoth-1 on Hugging Face → Source: elephant-1 on Hugging Face → Source: joey-1 → Compare prices
• Qev 0.8B by labqoat: A tiny open decision model that runs locally, built on Qwen3.5-0.8B and reading text and images. Source: Model page → Source: Hugging Face → Compare prices
• Decido by decido-ai: An open decision model built to run on a laptop CPU: a LoRA fine-tune of Gemma 4 26B-A4B shipped as an 8-bit GGUF for llama.cpp, answering in the same wire format as Jev's System One API. Source: Hugging Face → Compare prices
• Arc-decide by Arc53 (DocsGPT): The small decision model inside DocsGPT, used for quick judgements such as whether a message is a prompt injection or whether a chunk answers the question. Source: Docs → Source: Hugging Face → Compare prices
• Valen by Valen Team: Open decision models in three sizes that read text, images and video, built on Qwen3.5. Source: Site and demo → Source: Hugging Face → Compare prices
• Fovea-4B by Sivasuthan: An open decision model for images: give it a photo, document, receipt, chart or screenshot plus a typed question and it returns a probability for every allowed answer, served over Jev's System One API. Source: GitHub → Source: Hugging Face → Compare prices
• homi by egma-ai: An open decision model that listens instead of reading: give it an audio clip and a typed question (how does the speaker feel? does the pitch rise?) and it returns a probability for every option, without a transcript. Source: GitHub → Source: Hugging Face → Source: Show HN → Compare prices
• Nimbus by Crele: A decision model for live audio. Source: GitHub → Source: Hugging Face → Compare prices
• GLiDE by Fastino: Fastino's big decision model, built on Qwen3.8-27B: give it text, JSON or images plus typed questions and it returns a probability for every option, with nothing generated. Source: Hugging Face → Source: API docs → Source: Decision Index → Compare prices
• UltraBERT Curation by Daniel van Strien: A 380M-parameter decision model for data curation: give it a web page, prompt, maths problem or library record and typed questions (topic, format, educational value, difficulty) and it returns a probability for every option. Source: Hugging Face → Source: Recipe → Compare prices
• KnowLine by PelaAI: A fast-moving family of open decision models from PelaAI, trained in an agent-driven data loop, with English and Chinese in mind: from 0.8B up to 35B-A3B, with new generations posted every few days. Source: Hugging Face → Source: Decision Index → Compare prices
• Ru-Jev by besktech (beskvladimir-create): A Russian-first typed-decision model built on mmBERT-base (307M), with a separate scoring head. Source: Weights and v1.1 model card → Source: GitHub → Source: Release metadata → Compare prices

Tooling

• Ollama v0.35 by Ollama: Ollama added native decision models through /v1/systemone, based on TypeSafe's Jev API, so you can run one on your own machine. Source: Release notes → Compare prices
• prismhq/jev-router by prismhq: A LiteLLM-based router with an optional Jev decision backend: when a TypeSafe API key is configured it can use Jev to pick a model per request, and otherwise falls back to its own rules-based decider. Source: GitHub → Compare prices
• mizorewww/laya-mlx by mizorewww: Runs the open Laya decision models natively on Apple Silicon with MLX: no PyTorch, no cloud API, zero output tokens. Source: GitHub → Compare prices

Community

• SemIf (formerly OpenJev) by TheoLeeCJ: Reproduces Jev's interface pattern with open models: it reads typed option probabilities directly from a model, with no answer sentence and no decoding loop. Source: openjev.com → Source: TheoLeeCJ/SemIf-OpenJev → Compare prices
• bnsd55/jevmlx by bnsd55: Parallel constrained decisions for local models through mlx-lm on Apple Silicon: the schema is a set of typed fields, the context is prefilled once and broadcast across one batch row per field. Source: GitHub → Compare prices
• kw2828/OpenJev by kw2828: A browser and local playground for decision experiments on memory, uncertainty and control, using Qwen-family models and returning option probabilities. Source: GitHub → Compare prices
• akash-kamat/system-one-gemma by akash-kamat: Gemma 3 270M with a scoring head, producing a decision in a single forward pass with no text generation. Source: GitHub → Compare prices
• leofmarciano/groot by leofmarciano: Groot 1 S, a 149M-parameter open typed-decision model that speaks the System One request format and reads states of up to 64k tokens in the maker's tests. Source: GitHub → Compare prices
• jwuthri-cloud/SelfJev by jwuthri-cloud: A self-hosted decision model with a Jev-compatible API: you run the server on your own GPU, and a 230 MB vision adapter on Qwen3.5-4B reads text and images. Source: GitHub → Source: Hugging Face → Compare prices

Compare all published prices · What is a decision model?