Space Bunny Alpha

Particle-1

Particle-1 is Particle AI’s coding and data-engineering model, post-trained on DeepSeek V4.1 Flash. It accepts text and images, supports tool calling, and offers a shared 1,048,576-token context window with up to 131,072 output tokens, including reasoning. Reasoning defaults to high and can be turned off. JSON formatting is supported; strict JSON-schema enforcement is not guaranteed.

Xing 4.0 29B A4B

China Telecom’s Xing 4.0 is an Apache 2.0 open-weight mixture-of-experts model with 29B total and 4B active parameters, designed for coding, reasoning and tool use. Supports text input, structured output and a shared 262,144-token input/output context. This route does not use a TEE.

Kolibri 1

Kolibri 1 is Aleph Alpha’s open-weight reasoning model for German and English, hosted by Munito in the EU. It supports a one-million-token context, tool calling, structured output, and adjustable reasoning.

Ling 3.0 Tiny

Ling 3.0 Tiny is a compact 7.9B-parameter Mixture-of-Experts model with 1.3B parameters active per token. It is designed for responsive agents, reliable instruction following, natural multi-turn conversations, long-context work, and function calling at low inference cost.

Ling 3.0 Tiny Thinking

Ling 3.0 Tiny Thinking enables visible reasoning on inclusionAI's compact 7.9B-parameter Mixture-of-Experts model for harder agent tasks, coding, planning, function calling, and long-context workflows.

LFM3 1.7B

Liquid AI's compact 1.7B-parameter text model for tool use, structured output, data extraction, and specialized agents. It reasons before answering and supports a 262,144-token context window with up to 8,192 output tokens. Pair it with retrieval for knowledge-heavy tasks; it is not recommended for complex multi-step reasoning or agentic coding.