Technology

Summary: DeepSeek V4 Pro in 30 Seconds DeepSeek V4 Pro 0813 went generally available on August 13, 2026. No press release, no blog post, just one line in a changelog. 1.7 trillion parameters, mixture-of-experts architecture, 1M token context, 384K token output ceiling. The weights are on Hugging Face under the MIT license. You can download them, modify them and ship them in a commercial product. Official scores are bold: 87.9 on Terminal Bench 2.1, 62.7 on DeepSWE. Independent testing is more restrained: 53 on the Artificial Analysis Intelligence Index. Pricing is $0.435 in and $0.87 out per million tokens. From August 16 the off-peak rate is half of that. The catch: its smaller sibling V4 Flash scores 52 on the same index at one third of the price. You are paying triple for one point. Model launches have settled into a ritual: a teaser video, a wall of benchmark charts, an excited founder post. DeepSeek skipped all of it. DeepSeek V4 Pro 0813 went generally available on August 13, 2026 with no announcement at all. One line landed in the API changelog and the weights appeared on Hugging Face. ...

Summary: Grok 4.6 in 30 Seconds Grok 4.6 is SpaceXAI’s new flagship model, announced on August 12, 2026. It is a post-training upgrade on the Grok 4.5 base, not a new foundation model. It scores 61 on the Artificial Analysis Intelligence Index: five points above Grok 4.5 from a month ago, level with GPT-5.6 Sol, two points behind Claude Opus 5. Pricing did not move: $2 per 1M input tokens and $6 per 1M output. Roughly half what rivals charge. A new reasoning tier arrived: xhigh. The model also checks and verifies its own work far more often. The context window is 500K tokens, but any request above 200K doubles the price of the whole call. In the AI race, a month is a long time. In early July we were writing about Grok 4.5. Five weeks later SpaceXAI announced Grok 4.6 and put the model straight back into the frontier conversation. ...

Summary: GPT-5.6-Cyber in 30 Seconds GPT-5.6-Cyber is a version of GPT-5.6 Sol trained to be far more permissive on cybersecurity work. Announced on August 10, 2026. It is not publicly available. Only verified security firms and researchers in the Daybreak Red tier can use it. In testing it answered 95% of advanced cyber requests. Standard GPT-5.6 Sol answered just 1.5%. It sits at the High capability level under OpenAI’s Preparedness Framework. The delayed Astra model is the one at the Critical threshold. OpenAI has announced a noticeably less restricted model for cyber defenders: GPT-5.6-Cyber. It is a variant of GPT-5.6 Sol tuned for cybersecurity workflows, and it is closed to ordinary ChatGPT users. ...

Summary: Muse Glimmer in 30 Seconds Muse Glimmer is a 30 billion parameter agentic model released by Meta Superintelligence Labs on August 10, 2026. The weights are open under Apache 2.0. No cloud needed. Four-bit quantization shrinks the language model to under 20 GB, so it runs on a single consumer GPU with 24 GB or 32 GB of memory. It reads text and images, and returns text. Default context window is 128K tokens, and the model supports more. It clears its size class on agentic tests: 75.5 on MCP Atlas (Gemma4-31B 54.2, Qwen3.6-27B 62.5). On math, 94.7 on AIME 2026. The bundled DFlash drafter speeds generation up 3.1x on an RTX 5090 and 1.8x on an M5 Max. It is distilled from Muse Spark, Meta’s cloud model, so the big model’s agentic behavior is transferred into a small one. On the same day Zuckerberg announced that the weights for Muse Spark 1.2, Meta’s flagship model, will be opened too. No date, just “soon.” An AI agent normally means an API key, an internet connection and a bill that ticks up with every request. Meta just tried the opposite. ...

Running Claude Code against a non-Claude model works, and you do it on a path the providers document themselves rather than through a hack. Ollama, Moonshot and Z.ai all publish an Anthropic-compatible endpoint. Setup comes down to three environment variables. This guide covers the steps for all three providers, how to make the configuration stick, and the errors people hit most 🔌 The Short Answer Three providers, three addresses Provider ANTHROPIC_BASE_URL Ollama (local) http://localhost:11434 Moonshot / Kimi https://api.moonshot.ai/anthropic Z.ai / GLM https://api.z.ai/api/anthropic MiniMax https://api.minimax.io/anthropic Alibaba / Qwen depends on the plan Add ANTHROPIC_AUTH_TOKEN and a model name and that’s the whole setup. ...