Jev alternatives: hosted models and open weights

Jev alternatives include hosted models and open weights, plus community projects and tools. The registry lists 59 alternatives alongside Jev, for 60 entries.

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 Decisions API uses GPT-6 Luna to return typed answers for classification, routing and agent actions. Price (vendor-reported): $0.10 per million uncached input tokens; output free. Source: Decisions guide → Source: API changelog → 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 for text and images, with a 384K-token window. Price (vendor-reported): $0.04 per million input tokens; output free. Source: Announcement → Source: Version 1.1 release → Source: Baseten → Source: API models, status and pricing → Source: Baseten launch, 02 Nov 2026 → 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. Price (vendor-reported): $0.10 per million input tokens on OpenRouter; output free. Source: Announcement → Source: OpenRouter listing → Source: OpenRouter decisions inventory (34 entries, checked 4 Nov 2026) → 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 ¥0 per million input and output tokens, with an original input rate of ¥0.20 per million tokens. Checked 04 Nov 2026. The rate is for the 4B test endpoint during a free trial; 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 for Drex 2.0; $0.03 for Drex Max, Max v1.1 and Max Finance, hosted. Source: Model table → Source: Hugging Face → Source: Drex Max weights and local inference → Source: Drex Max Finance API guide → 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
• Intern-Decision by InternLM: Send a shared state, named questions and optional images to these multimodal models. Source: 4B weights and model card → Source: GitHub → Source: Report → Source: Hugging Face upload metadata → Compare prices
• MiniCPM-OCR Jev by OpenBMB: This 2B specialist scores whether a candidate OCR reading matches a document region. Source: Weights and model card → Source: Code and deployment → Source: JevOCRBench → Source: Hugging Face upload metadata → Compare prices
• hs-decide-1-flash by Vectorize (Hindsight): Vectorize's Hindsight team fine-tuned this 0.8B model from Qwen3.5-0.8B for agent memory. Price (vendor-reported): $0.02 per million input tokens on Hindsight Inference; input only. Source: Launch and evaluation → Source: Weights and model card → Source: Hindsight code → Source: System evaluation → Compare prices
• Smaug-Decisions by Abacus.AI: Abacus.AI's 4B decision model answers a typed question about audio, an image or text with a probability per option in one pass. Source: Weights and model card → Source: 0.7B audio tier → Source: LiteRT build → Source: Maker blog announcement → Source: X announcement: 3 Nov 2026 → Compare prices
• REAX 1.3 by REAX: REAX 1.3 runs two model parts on one GPU and averages their per-option probabilities 50/50. Source: Weights, results and upstream notices → Source: REAX Engine → Source: Announcement → Compare prices
• K-Decision-9B by ONYULTEA: A Korean-specialised 9B decision model based on Qwen3.5-9B, trained with int8 LoRA at rank 32. Source: Weights, licence declaration and results → Source: Serving and evaluation code → Source: Weight file inventory → 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

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