Type a name, or just describe what you need. Results blend keyword and meaning-based search. 53 matches, each with an EU availability status.
Model · OpenAI
OpenAI's lighter, lower-cost GPT-5.6 model variant, suited to routine tasks such as setup and scripting work.
Model · MiniMax
MiniMax's fast, low-cost language model aimed at agentic coding and automation, available via API.
Model · Type Safe AI
Non-chat "decision model" from Type Safe AI that returns calibrated probabilities over predefined answer options.
Model · Meta
Meta's smallest Muse-series language model, positioned as a low-cost option for subtasks and delegation.
Smaller, efficient OpenAI model reportedly cut in price by 80% after efficiency work; details are limited.
Model · Google
Google's fast, low-cost Gemini Flash model with strong agentic coding results, plus a Cyber variant for defensive security.
Model · Liquid AI
Liquid AI's 24B-parameter mixture-of-experts LFM with 2B active parameters, built for fast on-device agents.
Liquid AI's LFM3 family of small multimodal foundation models for on-device, edge and cloud use.
Model
Open-weight non-autoregressive System 1 decision model returning calibrated probabilities in one forward pass across 100+ languages.
Model · PrismML
Ternary/1-bit compressed 27B-parameter model from PrismML, about 3.9–5.9 GB, built to run on phones and laptops.
Model · Zhipu AI
Zhipu AI's GLM-5.3-Flash, a fast open-weights LLM for coding and agentic tasks, available via Z.ai chat and API.
Compact 1.7B open-weights text LLM for on-device use, with adjustable thinking levels and English/Chinese support.
Model · Alibaba
Small 0.8B-parameter open-weights language model in Alibaba's Qwen 3.5 family, aimed at lightweight and on-device use.
Google's faster, lower-cost Flash model in the Gemini 3.5 family, aimed at agentic and coding workloads.
Model · DeepSeek
Open-weights multimodal DeepSeek model in the V4 family, offered via API, chat and downloadable weights.
Model · Amazon
Small open model from Amazon's Strands agents team, reportedly built for agent decision-making; details unverified.
Model · Cactus Compute
Tiny 29M–121M parameter on-device model for tool calling and extraction, shipped as an 8–29 MB binary.
Ternary-weight (-1, 0, +1) compression of a 27B model by PrismML, shrunk to about 5.9 GB for local use.
Model · OpenBMB
Dense 2B-parameter open-weights language model from OpenBMB for on-device and edge deployment, Apache-2.0 licensed.
Model · Cactus
Tiny on-device tool-calling and extraction model from Cactus, shipped as an 8–29 MB binary for phones, wearables and microcontrollers.
Model · Nanbeige
3B-parameter open model from Nanbeige using a looped transformer, aimed at agentic and reasoning tasks.
1B-parameter dense open-weights language model from OpenBMB for on-device use, with hybrid thinking and 128K context.
Google's fast, lower-cost multimodal Flash-tier Gemini model for the Gemini app, AI Studio and coding tools.
Alibaba's fast multimodal Qwen model with text, image, audio and video input, 1M-token context and real-time streaming.
