タグ: AI coding

Muse Spark 1.1 landed on July 9, 2026, and Meta is calling it its strongest model yet for real-world coding and agentic work. The upgrade comes from Meta Superintelligence Labs, the team Meta assembled to close the gap with OpenAI, Anthropic and Google, and it arrives with a feature that changes Meta’s whole strategy; a paid developer API. Alongside the model, Meta opened a public preview of the new Meta Model API, marking the first time the company is charging money for access to one of its frontier models. This is a big shift. Meta built its reputation on giving models away, so putting Muse Spark 1.1 behind a metered […]

GLM-5.2 is the top open-weight model on the Artificial Analysis Intelligence Index, ranking 4th overall while costing a fraction of the closed flagships, and that gap is why the GLM vs Claude question has spread into a much bigger fight. Zhipu AI’s open-weight model costs $1.40 input / $4.40 output per million tokens against Claude Opus 4.8 at $5 / $25, ships under a permissive MIT license, and now trades benchmark wins with models from OpenAI, Google, xAI and DeepSeek. So the real question is not just GLM vs Claude. It is whether an open-weight model at a fraction of the cost can stand in for any of the big […]

GLM 5.5 is reportedly expected in August 2026, according to a June 30 report from CGTN on Zhipu AI. That would make it the direct successor to GLM-5.2, the open-weight model that shipped on June 13 and immediately became the highest-scoring open-source model on the Artificial Analysis Intelligence Index with a score of 51. Zhipu has not published an official launch date, so August is a strong signal rather than a locked promise. This article pulls together every credible signal on GLM 5.5 in one place. You will get the reported timing, the release cadence that backs it up, a clear-eyed view of what the specs and price are likely […]

GLM pricing is the headline reason developers keep switching to Zhipu AI’s models. The flagship GLM-5.2 costs just $1.40 per million input tokens and $4.40 per million output on the official API, roughly one-sixth of what GPT-5.5 charges, and the older GLM-4.7 is cheaper still. You can also use GLM free in the browser, and two of the models cost nothing at all through the API. This guide breaks down every way you pay for GLM in 2026: the free tier, the per-token API rates for each model, and the GLM Coding Plan subscription that starts at $18 a month. We finish with a cost comparison against Claude, ChatGPT, Gemini […]

Meituan has open-sourced LongCat-2.0, a 1.6 trillion-parameter Mixture-of-Experts model with a native 1-million-token context window, released on June 30, 2026 under a permissive MIT license. It is the model that quietly topped global developer charts on OpenRouter for two months under the codename “Owl Alpha”, and Meituan says it is the first trillion-parameter model trained and served end-to-end on Chinese-made chips, with no Nvidia GPUs involved. This article breaks down what LongCat-2.0 actually is, how its unusual architecture keeps a 1.6T model cheap to run, what the vendor-reported benchmarks claim, and how you can try it today. We also flag where the hype outruns the evidence, because the headline numbers […]

GLM is the family of large language models built by Zhipu AI, the Chinese lab now trading as Z.ai. If you typed “what is GLM” expecting the statistics term or the Bosch laser measure, this is the other one: GLM is a direct open-weight rival to ChatGPT, Claude and Gemini, and its current flagship GLM-5.2 scores high enough on independent benchmarks to sit in the same conversation as models that cost six times more to run. The reason GLM matters to you is simple. Every model in the family is open-weight and MIT-licensed, so anyone can download it, run it, or build on it for free, and the paid API […]

Most AI models people call “open source” are not actually open source. They are open-weight, a narrower thing, and the gap between the two decides what you can legally do with a model, how much you can trust it, and whether anyone could ever rebuild it. In October 2024 the Open Source Initiative finally drew a hard line with its first formal Open Source AI Definition, and by 2026 that line separates a handful of fully open models from the dozens that just look open. This guide explains what open source AI really means, why the open-weight versus open-source distinction matters to you, and which of today’s big models fall […]

ByteDance’s new Seed 2.1 Pro scored 1539 on Code Arena: Frontend, landing at #8 in the world and drawing level with Claude Opus 4.6. That is a remarkable result for a model that is not even publicly available yet, and it puts ByteDance into the same frontend tier as Anthropic and Z.ai for the first time. The number that matters most sits underneath that headline. Seed 2.1 Pro reached the top 10 in five of seven subcategories, and in the areas where it is strongest only a short list of frontier labs scored higher. This article breaks down exactly where the model ranks, why its React and design results stand […]

The best open source AI models now score within single digits of GPT-5.5 and Claude Opus 4.8 on most benchmarks, and you can download their weights for free. GLM 5.2 posts a 62.1 on SWE-bench Pro, DeepSeek V4 hits 80.6 on SWE-Bench Verified, and Gemma 4 runs on a laptop while scoring 85.2% on MMLU-Pro. The gap between open and closed AI has never been smaller. This guide ranks the open source AI models worth your time in 2026, what each one is genuinely best at, and how to actually run them without a rack of GPUs. We tested the picks against current benchmark data, license terms, and real accessibility, […]

You can learn Claude from zero to seriously useful in about a week of evenings, and you can do it without paying a cent. Anthropic runs its own free training portal, Anthropic Academy, where courses like Claude Code in Action (around 10 hours) and Claude Code 101 come with a free completion certificate you can put straight on LinkedIn. Add freeCodeCamp’s 12-hour video course and Frontend Masters’ free track, and the hard part is no longer access. It is knowing the order to learn things in. This guide gives you that order. It starts with Claude the chat app at claude.ai, because most beginners should talk to Claude before they […]