Inkling Small

Ember-1

Fireworks AI

Ember-1 is Fireworks AI’s specialized Kimi K3-derived reasoning model, offered through its serverless API and playground. The 2.78T-parameter mixture-of-experts model supports image inputs, function calling, and a context advertised as 1040K tokens. It is optimized for shorter reasoning traces: the publisher reports roughly 40% fewer generated tokens with comparable results on its own evaluations. This is a provider evaluation claim rather than a guarantee of latency or quality in every agent workload. Ember-1’s September 23 launch establishes public availability, while the catalog’s September 22 creation timestamp is earlier metadata. Public model weights are not offered.

Nex-N2.5 Max

Nex AGI

Nex-N2.5 Max is a separately positioned tier in Nex AGI’s September 2026 agentic family. The Max tier is Nex AGI’s first trillion-parameter-scale post-training effort. Unlike mini and Pro, its 1.6T-parameter foundation is text-only, emphasizing coding, tool execution, scientific research, and complex productivity tasks. Adaptive thinking can produce direct answers or reasoning traces, with controllable reasoning effort. Apache-licensed downloadable weights and compatible serving examples are published. The official repository establishes the released family but does not date its first public availability precisely, so month precision is preserved. Agent evaluation results reflect the model together with tools, context management, and execution budgets.

Inkling

Thinking Machines Lab

Inkling is Thinking Machines Lab’s open-weight multimodal mixture-of-experts model, trained from scratch for native reasoning over text, images, and audio. Variable thinking effort allows applications to choose a latency and reasoning tradeoff. The checkpoint supports up to 1M tokens, while hosted product limits can be lower. Apache-licensed weights and Tinker access enable customization and deployment for coding, conversational assistants, and tool-using agents. Its pretraining includes 45T tokens spanning text, images, audio, and video; video training does not establish a supported direct video-input endpoint.