Mistral Large 4 ships as open weights for coding and cyber
The 1.05T model has 52B active parameters and a 1M context; Mistral's ranking claims are narrower than independent scores.
The 1.05T model has 52B active parameters and a 1M context; Mistral's ranking claims are narrower than independent scores.
A weight-only reader keeps 98.1% of full accuracy at 17.8% of routed-expert reads and speeds MoE blocks versus vLLM.
Serving Kimi K2.6 on vLLM 0.28 matched the expected schema only 92% of the time, the authors report.
In one author's studies, a Qwen3-Coder worker passed 0/45 tasks while direct coding passed 45/45 on the same suite.
DeepSeek claims 155 trillion tokens a day and 96% cache hits; KV cache and load balancing are not fully released.
TPU support also landed in vLLM, SGLang, TorchTitan, Ray, and Hugging Face libraries, with two pieces still in preview.
Meta released Muse Spark Open, an 816B multimodal open-weight model with 42B active parameters and a 1M-token context.
Liquid AI released open-weight LFM2.5-24B-A2B, a 24B MoE with 2B active parameters for on-device agents.
Google opened Gemini 4 Argon on the paid API, a sparse MoE model with a combined 1M-token window.
Google released Gemini 4 Argon globally, ranking first on the Vals Index.
Google launched frontier model Gemini 4 Argon, ranked first on the Vals Index.
Authors say it doubles expert speedup on SWE-fficiency and reports 1.92 times vLLM and 1.38 times SQLite.
StartLux-Decision models from 0.8B to 27B add confidence-guided reasoning trained with RLCD².
AutoTrust released JEV-35B-NVFP4, a 4-bit quantization of its 35B decision model that cuts GPU memory by 65%.
vLLM Semantic Router released d3, a 27B multimodal model that returns calibrated decisions instead of generated text.
Rapid7's Metasploit wrap-up adds 12 modules, including unauthenticated RCE for N-central, Langflow, LiteLLM, and dizqueTV.
NVIDIA published an FP4-quantized Qwen3.8-Flash-Next checkpoint for local Blackwell inference, occupying about 96 GiB.
Unpatched LMCache flaw CVE-2026-105192 allows unauthenticated remote code execution, and JFrog published a PoC.
Unpatched LMCache flaw CVE-2026-105192 lets unauthenticated attackers run code via pickle over ZeroMQ.
autotrust released an unofficial pruned NVFP4 GLM-5.3-Flash build that fits two NVIDIA DGX Sparks.
Researchers store encrypted KV cache on NVMe so Gemma 4 recalls facts across 50 million tokens without recompute.
Cantina and Yeta Labs released apex-flash-1, an open model that solved 40 of 60 bug tasks.
autotrust published GEV-26B-Decide-NVFP4, an NVFP4 expert-quantized 26B model that fits in about 17 GB.
nerkyor released a Qwen3.8-27B post-train that cuts 94K truncations and lifts GPQA, MMLU, and coding scores.
Prime Intellect launched Prime Inference, serverless and reserved serving for open models such as GLM-5.3.
Cohere launched Embed 5 Pro and Fast, multimodal embeddings with a 128K context for search, RAG, and agents.
GTIG says AI-found flaws skew toward remote code execution, and attackers hit BeyondTrust CVE-2026-1731 within four days.
Galahad caches byte-exact KV state so repeated LLM document reading becomes a one-time cost.
SparseEngine, a sparse-first LLM inference engine, reports over 10x throughput with KV eviction versus existing serving stacks.
SlimWise prunes MoE experts only at decode, lifting Qwen3.6 throughput up to 1.81x in vLLM.
DeepEdu-v1 tutors Vietnamese students on-premise, cutting retrieval calls 7.7x and lifting agentic accuracy from 70% to 79.5%.
EAServe raises multimodal LLM serving goodput by controlling encode, prefill placement, and GPU sharing.
Aikido released Altar-1, an open-weight security model pruned from GLM-5.3 to 328 GB.
Continuous depth batching enables efficient depth-adaptive inference for looped language models, reaching up to 99% of estimated maximum speedup.
BottleCap AI released ThinkingCap-Qwen3.8-27B, cutting thinking tokens 37.2% with a 0.86-point accuracy drop.
Contrastive-LM released CLM-8B, an open model that scores agent actions up to 9× faster than Jev.
OrcaRouter released OrcaSAQ2 27B, a 12.3 GB 3-bit quant of Qwen3.8-27B with near-BF16 perplexity.
Nokia open-sources AnyJev, a training-free library that converts any open LLM into a calibrated decision model for classification tasks.
Local serving stacks can distort tool-use scores, including false 0% fidelity for rejected models.
Aikido released Altar-1, an open-weight defensive model pruned from GLM-5.3 for on-premises security testing.
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