Grok 4.2 Non-Reasoning
Version: 1
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Key capabilities
About this model
Grok 4.2 is xAI’s latest large language model, built for strong reasoning, multimodal understanding, and enterprise use. It improves instruction following, honesty, and calibration over earlier Grok versions, while supporting both single‑agent and multi‑agent workflows. Designed as a general‑purpose, truth‑seeking assistant, Grok 4.2 is well suited for research, analysis, coding, and complex professional tasks when deployed with appropriate guardrails.Key model capabilities
Grok 4.2 offers advanced reasoning and multimodal capabilities, supporting both text and image inputs for complex analytical, research, and coding tasks. It is designed to follow instructions more reliably, reason step‑by‑step, and operate in either single‑agent or multi‑agent configurations, enabling flexible workflows for professional and enterprise scenarios. As a general‑purpose, truth‑seeking model, Grok 4.2 is intended to handle a wide range of everyday and specialized tasks when deployed with appropriate oversight and safeguards.Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
Grok 4.2 is well suited for use cases that require strong reasoning, broad knowledge, and careful instruction following across professional workflows. Key scenarios include research and analysis, where the model can reason over complex questions and synthesize information; software development tasks such as code understanding, debugging, and explanation; and knowledge‑intensive work like writing, translation, and technical documentation. With support for text and image inputs and the ability to run in single‑agent or multi‑agent configurations, Grok 4.2 also fits agentic and enterprise workflows that demand structured decision‑making and robust safety behavior when deployed with appropriate guardrails.Out of scope use cases
The model is not suited for high-risk, mission-critical applications without additional safeguards, such as unrestricted dual-use research (e.g., advanced CBRN planning) or unfiltered adversarial testing. It may underperform in extremely long-context tasks beyond 2M tokens or in non-supported languages due to its generalist training. Prohibited uses include generating harmful, illegal, or disallowed content (e.g., CSAM, violent crimes), as outlined in xAI's acceptable use policy.Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
Training cut-off date
The provider has not supplied this information.Training time
The provider has not supplied this information.Input formats
Preferred input is structured text prompts, including natural language queries or tool-use instructions. Supports multimodal inputs like images. Example: "Search for the latest stock prices and summarize." The model expects clear, intent-explicit prompts for optimal performanceOutput formats
The provider has not supplied this information.Supported languages
English (primary), with multilingual support including Spanish, Chinese, Japanese, Arabic, Russian.Sample JSON response
The provider has not supplied this information.Model architecture
The provider has not supplied this information.Long context
Context length of 256,000 tokens, supporting extensive conversational histories, document analysis, and agentic tool-use workflows in a single session.Optimizing model performance
Use for instant responses; enable the reasoning variant (grok-4-20-reasoning) when deeper analysis is needed. Leverage parallel tool calling for efficiency in agent setups.Additional assets
The provider has not supplied this information.Training disclosure
Training, testing and validation
The training dataset comprises a general purpose pre-training corpus (publicly available Internet data, third-party data for xAI, user/contractor data, internally generated data) with filtering for quality and safety (e.g., de-duplication, classification). Specialized post-training emphasized reinforcement learning for tool-calling, reduced hallucinations, speed optimization, and alignment. Testing focused on agentic benchmarks, tool-use accuracy, latency, and safety evaluations. No public data summary is available.Distribution
Distribution channels
The provider has not supplied this information.More information
Microsoft's safety and responsible AI evaluations found Grok-4.1 to be less aligned than other models evaluated and offered through Azure Direct resulting in (i) higher risks that the model will produce potentially harmful content and (ii) lower scores on safety and jailbreak benchmarks. To improve safety and enterprise reliability, Microsoft's deployment of Grok 4.1 features a system-applied safety prompt that cannot be disabled. Customers are expected to operate the model without attempting to bypass or interfere with this feature. Grok-4.1 may be capable of producing explicit content, and may do so with a higher propensity than other models. Customers should use both system safety messages and Azure AI Content Safety (AACS) service to manage model behavior and comply with the Microsoft Enterprise AI Services Code of Conduct. Additionally, there may be categories of harm this model can produce that are not covered by Azure AI Content Safety. Accordingly, customers should conduct their own evaluations before deploying Grok-4.1 in production systems.Responsible AI considerations
Safety techniques
Post-training alignment included refusals for harmful requests (e.g., CBRN, cyber weapons, self-harm, CSAM) and robustness to adversarial inputs. Techniques featured supervised fine-tuning on refusal demonstrations, reinforcement learning for policy adherence, and system prompt safeguards for honesty and reduced misuse. Input filters block abuse attempts.Safety evaluations
Evaluations assessed abuse potential, concerning propensities (deception, sycophancy, bias), and dual-use risks using internal benchmarks and human reviews. Mitigations reduced attack success rates significantly. Detailed metrics from near-final checkpoints are available in xAI publications.Known limitations
The model prioritizes speed over depth, so it may not handle highly complex multi-step reasoning as effectively as the reasoning variant. Residual risks exist in adversarial or dual-use scenarios; user verification is recommended for sensitive outputs. Optimized primarily for English/general queries; performance may vary in niche contexts. Not suited for high-risk applications without safeguards.Acceptable use
Acceptable use policy
Developers must comply with xAI's acceptable use policy, avoiding harmful outputs. For high-risk use cases, implement monitoring, truthfulness checks, and human oversight. Prohibited uses include generating harmful, illegal, or disallowed content (e.g., CSAM, violent crimes), as outlined in xAI's acceptable use policy.Quality and performance evaluations
Source: xAI Grok 4.2 undergoes extensive evaluation focused on safety, robustness, and alignment alongside capability testing. The model is assessed across two primary risk axes—malicious use and loss of control—using internal benchmarks, third‑party red‑teaming, and agentic evaluations. These include tests for refusal behavior under adversarial prompts, robustness to jailbreaks and prompt injection, and agent‑based misuse scenarios such as fraud and cybercrime. Additional evaluations measure honesty, sycophancy, and overconfidence using established benchmarks, as well as dual‑use capability assessments spanning chemical, biological, cybersecurity, and automated research risks. Results indicate that Grok 4.2 generally improves refusal accuracy, honesty, and instruction following compared to prior versions, while maintaining safeguards intended to limit misuse when deployed with appropriate controls. View the xAI model card here .Benchmarking methodology
Source: xAI Benchmarking used standardized prompts and agentic evaluations for fair comparison. Focus on latency, accuracy, tool-calling success, and safety. Human and automated testing supplemented metrics. Further details on methodology are not publicly available.Public data summary
Source: xAI The provider has not supplied this information.Model Specifications
Context Length262144
LicenseCustom
Training DataSeptember 2025
Last UpdatedApril 2026
Input TypeText,Image
Output TypeText
ProviderxAI
Languages1 Language