
Best LLM Red Teaming Tools 2026: 6 Scanners Compared
Promptfoo, Garak, PyRIT, DeepTeam, Lakera Red, and Mindgard compared on approach, pricing, and what they actually catch before an LLM app ships.
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Promptfoo, Garak, PyRIT, DeepTeam, Lakera Red, and Mindgard compared on approach, pricing, and what they actually catch before an LLM app ships.

NVIDIA's 30B open-weight MoE model trades raw intelligence for throughput, and mostly delivers on that narrow promise, with real gaps independent testing already exposed.

River AI says it will free users from renting AI from closed labs. General Catalyst, AMP PBC, Temasek and NVIDIA, the money behind that pitch, are also major Anthropic investors.

NVIDIA distilled its 550B Nemotron 3 Ultra down to a 30B MoE model with 3B active parameters, aimed at the boring, high-volume work inside agent pipelines.

NVIDIA's 30B MoE model with 3B active parameters, distilled from Nemotron 3 Ultra, hits 86% PinchBench accuracy at up to 4x the output speed of comparable open models.

Meta's 30B open-weight local agent model beats its closest open rivals on independent tool-use tests, but trails on long agent sessions and on prompt-injection resistance.

Meta's 30B open-weight agentic model distilled from Muse Spark runs on a single consumer GPU, ships under Apache 2.0, and leads Gemma4-31B and Qwen3.6-27B on 5 of 8 agentic benchmarks.

Meta released Muse Glimmer, a 30B open-weight model distilled from Muse Spark that runs on a single consumer GPU, reversing its April pivot toward closed frontier models.

Claude Opus 5 matches near-frontier coding scores at half the price of Anthropic's own Mythos-class models - here's the full July 2026 ranking.

Qwen3-30B-A3B is Alibaba's efficient MoE model that activates 3.3B of 30.5B parameters per token, matching much larger dense models on reasoning and agent benchmarks under Apache 2.0.

Nvidia rallied more than 50 companies into an open-source cyber-defense coalition after the OpenAI-Hugging Face breach, but the three trillion-dollar closed labs never signed.

UK AISI and US CAISI found Kimi K3 scores 32.2% on an exploit-development benchmark against 76.2% for top US models, a gap that complicates both White House alarm and its own distillation accusation against Moonshot.