Perplexity released a research preview of a post-trained version of Z.AI's GLM 5.2, a Chinese open-source model, that matches Claude Opus 4.8 performance at one-third the cost by using an advisor tool…
GLM 5.2, an open weights AI model, prepared a nearly perfect quarterly VAT return for a UK small business, processing 59 transactions in 68 minutes at a token cost of $2.73, with the net position off …
GLM 5.2, a 744B-parameter Mixture-of-Experts model with ~40B active parameters per token, was released in June 2026 under an MIT license. It uses MLA and DeepSeek Sparse Attention for a 1M context win…
Databricks' internal benchmark of AI agents on its multi-million-line codebase reveals that token costs are misleading, agent harness design significantly impacts performance, and open-source models l…
Databricks has adopted the Chinese open-source model GLM 5.2 as its default coding engine after internal benchmarks showed it matched Anthropic's Opus 4.8 in performance at a lower cost of $1.28 per t…
A developer successfully ran GLM 5.2, a 744B-parameter Mixture-of-Experts model, on a laptop with 32GB RAM by streaming routed experts from disk. The project, called Colibrì, is a single C file engine…
Tencent's Hunyuan-3 and Zhipu AI's GLM 5.2 are competing open-weight models for AI agents, with Hunyuan-3 offering a 256K-token context window and MoE architecture, while GLM 5.2 emphasizes tool-use a…
Databricks released an internal benchmark evaluating coding agents on its multi-million line codebase, finding that models like GLM 5.2 offer top-tier performance at lower cost than alternatives like …
Users discuss privacy-focused AI alternatives to mainstream models, comparing options like Duck.ai, NanoGPT, MapleAI, OpenRouter, and Ask Brave. Concerns include trust in TEEs, model hallucination, an…
Google has updated its Android Bench LLM leaderboard with the Harbor framework, adding new models such as Claude Fable 5 and GPT 5.5, and inviting community contributions to the benchmark. The changes…
Z.ai's open-weight GLM 5.2 completed an agentic coding task in 17 minutes at $2.76, while Anthropic's Claude Fable 5 finished in 9 minutes at over $10, with comparable output quality. The open model c…
A Chinese AI startup, Zhipu (Z.ai), has emerged as a major competitor to Silicon Valley with its open-source GLM 5.2 model, challenging the U.S. AI establishment. The release coincided with Washington…
Anthropic's Claude Fable 5 model refused mid-tool-call on 11 of 44 coding-agent turns in a Synthorai evaluation, on mundane tasks such as fixing a config default. The refusal truncates tool arguments …
GLM 5.2, an open-weights model from Z.ai, has emerged as a genuine competitor to frontier models like Opus and GPT, but its slow inference speed and lack of vision and web search capabilities limit it…
GLM 5.2, an open-weights model from Z.ai, has emerged as a genuine competitor to frontier models like Opus and GPT, but its slow inference speed and lack of vision and web search capabilities limit it…
Amp rewrote its read_thread tool to handle long threads, which can now exceed 21 million tokens due to compaction. The new version uses a subagent with GLM 5.2 to extract information more accurately, …
OpenAI released GeneBench-Pro on June 30, 2026, a benchmark measuring AI agents' ability to reason about noisy biological datasets across 129 synthetic problems in genomics, quantitative biology, and …
Coinbase halved its AI spending without restricting engineer access, CEO Brian Armstrong revealed on X. The company achieved this by routing traffic to cheaper open-weight models like GLM 5.2 and Kimi…
Assembled open-sourced 143.dev, its internal infrastructure for running coding agents as a team, under an MIT license. The system runs multiple agent harnesses in sandboxes and integrates with tools l…
Z.ai released GLM 5.2, a 744B-parameter Mixture-of-Experts model with a 1M-token context window and MIT license, ranking #4 on BenchLM. While the model offers powerful long-context capabilities, devel…