Abliteration.ai launched a new model called "abliterated-model-large-v2," built on top of GLM-5.3, according to a September 1, 2026 PANews flash republished by KuCoin. The release is positioned for offensive cybersecurity use cases including AI red teaming, agent testing, and execution of authorized full attack chains, On the technical side, the flash reports the new model ranks third on Terminal-Bench 4.0, claims roughly a two-fold improvement in network attack and defense capability versus the prior v5.2 build, is hosted in the United States, uses FP8 precision, supports a 1 million token context window, and is offered via API with

abliteration.ai documents an OpenAI-compatible inference endpoint at https://api.abliteration.ai/v1 that exposes its flagship offering under the model id "abliterated-model," positioned as a developer-controlled, less-censored API. The page lists self-reported benchmark scores: MMLU Pro 82.1, GPQA 73.1, AIME 2025 83.7, The same page includes an implementation checklist and a troubleshooting FAQ that addresses the most common developer-facing error codes returned by the API: 401 Unauthorized (verify Bearer-token API key), 404 Not Found (ensure base URL ends with /v1 and call /chat/completions), 400 Bad Request (confirm the model id an

abliteration.ai announced a new flagship model, "abliterated-model-large," on its official blog (dated July 24, 2026). The company positions the model as a GLM 5.2 fine-tune built specifically for cyber, red-team, and agent-testing workloads that mainstream providers decline to serve, framing it as "frontier intelligen The announcement is relevant to developers and security teams evaluating API-accessible models for offensive-security and agent stress-testing pipelines, since abliteration.ai exposes its models via an OpenAI-compatible endpoint (https://api.abliteration.ai/v1). Readers should note that the excerpt is brief and marketi