Grok 4.1

xAI provides minimal technical details regarding the base architecture of Grok 4.1. While the model is described as having 'Thinking' (code-named quasarflux) and 'Non-Thinking' (code-named tensor) modes, there is no public documentation on whether it is a dense or sparse (MoE) architecture, nor are there details on the pretraining methodology or specific architectural modifications. The release blog post focuses on high-level capabilities rather than technical provenance.

Information on training data is extremely vague. The model card mentions a 'multilingual' dataset including English, Spanish, Chinese, Japanese, Arabic, and Russian, but provides no breakdown of sources, proportions (e.g., web vs. code), or specific filtering/cleaning methodologies. The primary claim is that it integrates 'real-time data from X', which is a marketing-heavy assertion without technical disclosure of how this data is ingested or weighted during training.

There is no public access to the Grok 4.1 tokenizer, and its vocabulary size is not officially stated. While it claims to support multiple languages, there is no documentation or repository available for independent verification of tokenization efficiency or alignment with the claimed language support. Third-party reports note that token accounting is not user-visible in the current interface.

The parameter count for Grok 4.1 is officially 'Unknown'. While industry speculation suggests it may be in the 'trillions' to rival competitors, xAI has not disclosed total or active parameters. There is no architectural breakdown of attention vs. FFN components, and the distinction between the 'Thinking' and 'Fast' variants' parameter usage remains entirely opaque.

xAI mentions the 'Colossus' supercomputer as the training backend, but does not disclose specific GPU/TPU hours, hardware counts, or training duration for the 4.1 update. No official carbon footprint calculations or energy consumption data are provided. Most compute information comes from third-party estimates (e.g., Epoch AI) rather than official transparency reports.

While xAI cites scores on LMArena, EQ-Bench3, and Creative Writing v3, it provides limited information for reproduction. Evaluation code is not public, and exact prompts or few-shot examples used for internal benchmarks are not disclosed. The reliance on 'internal production queries' for hallucination rate claims makes third-party verification impossible.

The model demonstrates high identity consistency, correctly identifying itself as Grok 4.1 and distinguishing between its 'Thinking' and 'Non-Thinking' modes. It is transparent about its versioning in the UI and generally maintains a coherent persona aligned with xAI's stated goals of 'personality' and 'humor' without claiming to be a competitor's model.

Grok 4.1 is under a strictly proprietary license. Unlike previous versions (Grok-1), no weights or source code have been released. Terms of service are geared toward consumer use on the X platform, and while an API is mentioned for 'Grok 4 Fast', the 4.1 flagship variants lack clear, publicly accessible developer licensing terms or derivative work policies.

There is zero official guidance on the hardware requirements to run Grok 4.1, as it is currently only available as a managed service. No documentation exists for VRAM requirements at different quantization levels (FP16/Q8/Q4) or context length memory scaling, leaving users entirely dependent on xAI's infrastructure.

xAI uses clear version numbering (4.1) and provided a blog post detailing the transition from Grok 4. However, there is no detailed technical changelog, and the 'silent rollout' period (Nov 1-14) indicates that model weights can change without immediate public notice. There is no mechanism for users to access or pin previous versions to prevent behavior drift.