Z.ai’s GLM-5.3-Flash activates just 18 billion of its 320 billion parameters at inference time, and on Z.ai’s reported results it outscores Claude Opus 4.8 on DeepSWE v1.1 (63.4 vs. 58.0), a demanding software engineering benchmark. It’s the first natively multimodal model in the GLM-5 series, combining text, image, and video input with a one-million-token context […]

Qwen3.8-27B landed at #9 on Arena.ai’s Code Arena WebDev board with 1,595 points, and as of September 2026 it’s the only model under 30 billion parameters in the top 10. Gemma 4-31B, released the same year and larger by three billion parameters, sits at #80. Three ranks above the 27B sits Qwen3.8-2.4T-A95B, a sibling with […]

DeepSeek V4 Pro scores 42 on the Artificial Analysis Intelligence Index. On the AA-Omniscience benchmark, which asks models hard factual questions and measures whether they answer or admit uncertainty, it has a 95% hallucination rate. That means when V4 Pro does not have the answer, it guesses anyway roughly 95 times out of 100. GPT-5.6 […]

With each new model release, we see new benchmark claims and new arguments justifying the value of its tokens. However, when teams compare models for real-world workloads, the sticker price alone hides large per-task differences in the amount of work a model requires to solve a task. Cheaper tokens do not necessarily translate to lower […]

GLM-5.3-Flash is a model from Z.ai in the GLM-5 family, released on August 26, 2026. It’s a natively multimodal model accepting text and image input (some listings, including OpenRouter, also note video), with text output. Both Artificial Analysis and DeepInfra describe it as a 320B-parameter mixture-of-experts model with 18B active parameters per inference; DeepInfra’s listing […]