GLM-4.7 made preserved thinking a named control for multi-turn coding agents
Z.ai released GLM-4.7 on December 22, 2025, pairing open model weights with interleaved, preserved, and turn-level thinking controls for agent workflows.
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Z.ai released GLM-4.7 on December 22, 2025, pairing open model weights with interleaved, preserved, and turn-level thinking controls for agent workflows.
Read analysisTencent’s June 27, 2025 Hunyuan-A13B release paired 80B-total and 13B-active MoE claims with a territory-limited community license.
Read analysisMoonshot AI announced Kimi K2-0905 on September 5, 2025, citing a 256K context window, enhanced frontend and tool-calling work, and broader agent-scaffold integration.
Read analysisDeepSeek released DeepSeek-V3.1 on August 21, 2025, describing Think and Non-Think modes, 128K context, updated tokenizer materials, and beta strict function calling.
Read analysisZ.AI introduced GLM-4.5 and GLM-4.5-Air on July 28, 2025, describing hybrid reasoning modes, agentic capabilities, and open-weight distribution.
Read analysisMeta released Llama 4 Scout and Maverick in April 2025. Their multimodal, mixture-of-experts design made model cards, licensing and workload conditions part of adoption evidence.
Read analysisMistral released Small 3.1 on March 17, 2025 as an updated small model. A vision-capable release needs image, text, retrieval, and structured-output tests kept separate.
Read analysisMistral introduced Mistral Small 3 on January 30, 2025 as a 24B Apache 2.0 model optimized for low latency. A rate claim needs a reproducible serving profile.
Read analysisMeta released Llama 3.3 70B Instruct on December 6, 2024. Open weights, a model card, and vendor evaluations each answer different adoption questions.
Read analysisQwen released the Qwen2.5-Coder series on November 12, 2024, expanding open code models across six sizes and describing assistant and artifact scenarios.
Read analysisCohere For AI launched Aya Expanse on October 24, 2024, releasing 8B and 32B multilingual models aimed at narrowing language performance gaps.
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