GLM-5.3-Flash
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Headlines · 5
- Z.ai releases GLM-Legal, claims top open-weight legal model
Z.ai released GLM-Legal, a legal-domain model built on the lightweight GLM-5.3-Flash base, saying it matches frontier closed models on mainstream legal benchmarks for workflows such as contract review, evidence analysis and compliance planning. According to Z.ai and Vals AI, GLM-Legal scored a 19.2% full-pass rate on Harvey LAB, a 12.5 percentage-point gain over its base model, and ranks as the top open-weight model on Harvey's Legal Agent Benchmark and LegalBench. These performance and ranking claims come from the developer and related parties and have not been independently reproduced.
Z.ai(智谱) · 🔥 0 - Zhipu releases GLM-5.3 and multimodal GLM-5.3-Flash open-weight models
Zhipu (Z.ai) published GLM-5.3 and GLM-5.3-Flash on Hugging Face. GLM-5.3 is a 753B-parameter open-weight model that reuses the GLM-5.2 base model, with all gains coming from post-training: the team says it improves 50% over GLM-5.2 on its in-house Z.ai Code Bench and reaches open-source state of the art on public benchmarks including Terminal Bench 3.0 and Agents' Last Exam, while expanded post-training also produced unexpected cyber capability, leading on CyberGym vulnerability discovery and more than doubling GLM-5.2 on exploitation benchmarks. GLM-5.3-Flash is the first natively multimodal model in the GLM-5 series, with 320B total and 18B active parameters, hybrid sparse/linear attention and mHC; Zhipu says it outperforms GLM-5.2 at one-tenth the price and approaches Claude Opus 4.8 on coding and agentic benchmarks. Both support local deployment via SGLang and vLLM and expose a reasoning_effort parameter (low/high/max, default max).
智谱 GLM · Hugging Face · 🔥 11 - Zhipu's GLM-5.3 HighSpeed spotted in ZCode at nearly 500 tokens/s
Zhidx reported on Oct 12 that Zhipu has quietly opened a gray-scale test of a high-speed flagship model, GLM-5.3 HighSpeed, inside its AI coding tool ZCode, available only to randomly selected ZCode subscribers with no public application channel. X user Leo said he was granted access and saw output above 490 tokens/s; for comparison, AI Ping lists DeepSeek V4.1 Flash's official API at 121.34 tokens/s and Zhipu's own GLM-5.3 API at 70.84 tokens/s, and the model is said to carry a 1M-token context window with up to 131,072 output tokens, with pricing undisclosed. Zhipu offered a 400 tokens/s GLM-5.1-highspeed API to selected enterprise users in May, attributing the gains to system-level work with TileRT across the inference engine, scheduling and infrastructure; it has also posted the natively multimodal GLM-5.3-Flash on Hugging Face (320B total / 18B active parameters), whose model card claims it beats GLM-5.2 on benchmarks and real-world workloads at one-tenth the price and approaches Claude Opus 4.8 on coding and agentic benchmarks.
量子位(原生 RSS) · 🔥 0 - Mistral releases trillion-parameter Large 4, the best model outside the US and China
European AI lab Mistral has released Large 4 (also called ML4 and nicknamed "Le Chonk" on social media), a trillion-parameter model. Testing lab Artificial Analysis scored it 38 on its overall intelligence index, according to Tom's Hardware, leaving it behind Chinese models such as Kimi K3 (max), GLM-5.3-Flash and MiMo-V2.6.Pro, though it performs strongly on cybersecurity tasks. Tom's Hardware reported that independent tests rank ML4 as the best AI model outside the U.S. and China, and said Mistral expects the exact weights to be released before the end of October.
Tom’s Hardware · 🔥 0 - vLLM v0.31.0 expands serving, speculation, and model support
vLLM v0.31.0 adds broad serving and model-support updates, including DeepSeek-V4.1-Flash optimizations, Model Runner V2 speculative decoding, larger-scale expert parallelism, and improved multimodal support. It also introduces the `vllm preload` weight-cache daemon for faster engine restarts and experimental CRIU-based initialized-engine snapshots, alongside several security and breaking changes.
vLLM Releases · 🔥 0
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