Qwen3-Max-Preview is Alibaba’s latest flagship preview model in the Qwen3 family — a trillion+-parameter, Mixture-of-Experts (MoE) style model with an ultra-long 262k token context window, released in preview for enterprise/cloud use. It targets *deep reasoning, long-document understanding, coding, and agentic workflows.
Model Type: Chat
The CyberSEO Pro and RSS Retriever autoblogging plugins for WordPress now support CometAPI as an alternative to GoAPI and OpenRouter. This integration includes image generation with Midjourney, as well as the entire Flux lineup: Flux Kontext Max, Flux Kontext Pro, Flux Schnell Pro, Flux Schnell Dev, Flux 1.1 Pro Ultra, and Flux 1.1 Pro. It also covers lots of flagship language models include ,Gemini, […]
DeepSeek-V3.1 is a hybrid “thinking / non-thinking” MoE language model (671B total, ≈37B activated per token) that can be run locally if you use the right provider/quantization and tooling. Below I explain what DeepSeek-V3.1 is, the hardware/software requirements, step-by-step local run tutorials (Ollama + llama.cpp examples), and how to deploy and use Thinking Mode (the […]
In the rapidly evolving landscape of artificial intelligence, content moderation remains a pivotal concern. While many AI platforms implement stringent filters to prevent the generation of Not Safe For Work (NSFW) content, Grok, developed by Elon Musk’s xAI, has adopted a notably different approach. This article delves into Grok’s stance on NSFW content, examining its […]
One of the most effective ways to bring AI capabilities into everyday business processes is by integrating AI APIs into workflow automation platforms. Make is one such platform, offering a powerful, no-code environment for building complex automation scenarios. When paired with CometAPI, a pre-built Make app designed to simplify AI API usage, businesses can harness […]
Kimi K2 is an open‑source, trillion‑parameter Mixture‑of‑Experts language model with a 128K‑token context window, optimized for high‑performance coding, agentic reasoning, and efficient inference.
Model Type: Chat
Artificial image generation is one of the fastest-moving features in generative AI today. Developers and creators routinely ask the same practical question: “how long will ChatGPT take to get my image?” The simple answer is: it depends — on the model you use, the API or UI path, image size/quality, concurrent load at the provider, […]
Over the past few months, the AI landscape has shifted quickly: OpenAI shipped GPT-5 to developers and refreshed its realtime stack; Anthropic updated Claude and its data-use policies; and Google pushed Gemini deeper into the home and smart-device ecosystem. Those shifts matter because they change which models you’ll want to reach and how you’ll monitor […]
OpenAI’s GPT-5 launched as a step forward in reasoning, coding, and multimodal understanding; GPT-4o (the “Omni” series) was an earlier multimodal, fast, and conversational model with a particular conversational personality and real-time audio/vision strengths. If your aim is to get GPT-5 to produce outputs that resemble the style, tone, or behavior you liked in GPT-4o,Below […]
AI is moving fast: new multimodal models and improved realtime APIs are making it easier to embed powerful AI into automation platforms, while parallel debates about safety and observability are reshaping how teams run production systems. For people building local automations, a practical pattern is emerging: use a unified model gateway (like CometAPI) to access […]
