Rabbit OS3 is rabbit's agentic operating system: a cloud service that plans work and a locally installed rabbit agent that executes it on up to five computers you connect, reached from a browser, Telegram, iMessage or the r1. It is not the r1 handheld and not the r1 firmware generation of the same name; the review sets that naming out before it begins. It scores 4.5 / 10 on the CI-First Review and carries the first Humics-Risky badge in the series.

MiMo-V2.6-Pro is Xiaomi's 1.02-trillion-parameter open-weights flagship, released 2026-09-21 and open-sourced on 2026-09-22 under MIT, with native text, image, video and audio input and a 1M-token context window. It scores 5.8 / 10 on the U365 CI-First Review, in the CI-First Positive band: an independent measurement puts it at $0.13 per Intelligence Index task against $1.06 for GPT-6 Sol, while its knowledge accuracy of 34.8 percent makes it a reasoning and coding model rath

Claude Opus 5.5 reaches Fable 5.1-level performance on most work at a list price 20 percent below Claude Opus 5, with cache reads cut 60 percent and four request patterns that now fail. The U365 CI-First review scores it 6.5 out of 10, CI-First Strong, unchanged from the Claude Opus 5 review at every dimension: the framework measures what the human gains, and this release changes the cost and the reliability, not what the human has to do. Sub-scores Time 7, Quantity 7, Qualit

GPT-6 Luna cuts the OpenAI API list price to $0.10 per million input and $0.50 per million output, 90 percent below GPT-5.6 Luna's original list rate on input. The U365 CI-First review scores it 4.8 out of 10, CI-First Positive: Time 7, Quantity 7, Quality 4, Skill 1. Humics-Neutral at -1 / +3. AI Imposture Risk Medium overall, Time Low, Quantity Medium, Skill Illusion High. Collaboration Mode Centaur. Evidence review, not a hands-on test.

GPT-6 Sol cuts OpenAI's mid-tier API price to $2 and $10 per million tokens and roughly halves the measured cost per completed task, from $1.99 to $1.06, while the CI-First benefit score stays at 6.0 out of 10. Time 7, Quantity 7, Quality 7, Skill 3. Independent measurement finds coding up 2 points and a regression of about 100 Elo on knowledge work. Humics-Neutral at -1 / +3. Imposture Risk Medium overall, Skill Illusion High. Mode Centaur. An evidence review, not a hands-on

Jev AI (TypeSafe AI): CI-First Benefit Score 5.5/10, CI-First Positive, Humics-Neutral (0), Medium AI Imposture Risk, Collaboration Mode Centaur. Jev 1.13 is a decision model that does not generate text: you declare a typed answer space of Choices, Scores and Noul questions and it returns a value, a probability distribution and a confidence in 70 to 500 ms at $0.042 per million input tokens. The speed, the price and the absence of parsing are real and independently reproduced

MiMo-V2.6-Flash is Xiaomi's open-weights efficiency checkpoint, released 2026-09-21 and open-sourced on 2026-09-22 under MIT, with 309 billion total and 15 billion active parameters, a 1M-token context window and native text, image, video and audio input. It scores 5.5 / 10 on the U365 CI-First Review, in the CI-First Positive band: $0.14 per million input and $0.28 output is exactly one third of its own flagship and roughly a fourteenth of the closed mid-tier on input, and i

Open WebUI: CI-First Benefit Score 6.0/10, Humics-Neutral. A self-hosted, extensible AI platform that supports Ollama and OpenAI-compatible APIs for both local and cloud-based models, with RAG, multi-user RBAC, and enterprise features.

Gemini 3.8 Flash: CI-First Benefit Score 7.0/10 (Strong), Humics-Neutral. Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows at a fraction of frontier-model cost.

DeepSeek V4.1 Flash earns a CI-First Benefit Score of 6.3/10 (CI-First Strong) and a Humics-Neutral badge of -1. Its 552B-parameter Mixture-of-Experts backbone activates 8B parameters during prefill and 16B during decode, supports a 1,000,000-token context window, and holds the KV cache to 890 bytes per token. Off-peak cache-hit pricing is $0.003 per million input tokens. URC rates the AI Imposture Risk Medium-High with Skill Illusion High, and SimpleQA-Verified trails its ow

TensorRT-LLM: CI-First Benefit Score 7.5/10 (Strong). NVIDIA's open-source inference engine for LLM and visual generation workloads, built for maximum throughput and low latency on NVIDIA GPUs.

GPT-5.6 Luna: CI-First Benefit Score 4.8/10 (Positive). OpenAI's most cost-efficient GPT-5.6 model, built for high-volume work where price per token matters more than frontier reasoning.

Noota: CI-First Benefit Score 7.2/10 (Strong). An AI meeting assistant that records, transcribes and summarises meetings across Zoom, Teams and Meet, with conversation data hosted in France.

Ollama: CI-First Benefit Score 7.0/10 (Strong). A local AI runtime that runs open models on your own machine, so prototypes and private documents never leave your computer. Free and open source.

Genmo Mochi 1 is a 10B-parameter open-source text-to-video model with Apache 2.0 licensing, strong motion physics, and a mature LoRA fine-tuning community. The U365 CI-First Evaluation scores it 4.5/10 (CI-First Positive) with Medium Imposture Risk. Status: Risky. The model has been surpassed by Wan 2.2, LTX-2, and HunyuanVideo on most practical dimensions, but retains value for architecture study, permissive licensing, and LoRA community maturity.

Cliphi: CI-First Benefit Score 5.8/10 (CI-First Positive), Humics-Neutral, Medium AI Imposture Risk. An AI video clipping tool that turns podcasts, livestreams, and long videos into ready-to-post vertical clips with animated captions, AI background music, and active speaker tracking. Primary institute alignment: UIC (Digital Communication). Collaboration mode: Centaur. The human directs and reviews; the tool executes.

n8n: CI-First Benefit Score 6.5/10, Humics-Neutral. A fair-code workflow automation platform with native AI agent capabilities, 1500+ integrations, and a visual canvas for building production-grade AI workflows you can inspect and control.

vLLM: CI-First Benefit Score 7.5/10 (Strong), Humics-Friendly. A high-throughput LLM inference and serving engine that delivers 14-24x throughput over naive serving with PagedAttention and continuous batching. For developers deploying open-source models in production.

Claude Code earns a 6.8/10 CI-First Strong score and Humics-Neutral badge. This review explains its strengths for coding work, the Medium imposture risk, and the Centaur collaboration mode that keeps you responsible for judgment.

LM Studio: CI-First Benefit Score 6.3/10, Humics-Neutral. A free desktop application for discovering, downloading, and running local LLMs entirely offline, with OpenAI and Anthropic-compatible API servers.

AnythingLLM: CI-First Benefit Score 6.0/10, Humics-Neutral. An open-source MIT-licensed private AI workspace with built-in RAG, AI agents, and multi-user support. Runs locally on your machine with zero setup friction. Free self-hosted or $50-$99/month cloud.

llama.cpp: CI-First Benefit Score 8.3/10, Humics-Friendly. The C/C++ inference engine that runs LLMs on any hardware from phones to servers. MIT-licensed, 128k GitHub stars, GGUF format creator. For developers and researchers who want local, private, cost-free AI.

MLX (Apple): CI-First Benefit Score 6.3/10, Humics-Neutral, AI Imposture Risk Low. An open-source array framework for machine learning on Apple Silicon, with 28.4k GitHub stars, 4,800+ community models on Hugging Face, and 230 tok/s throughput on M2 Ultra.

Perplexity AI: CI-First Benefit Score 7.8/10, Humics-Neutral. A AI Search Engine, Answer Engine, Research Tool for academic and professional use.