grok-4-fast-non-reasoning

Grok 4 Fast is a high-performance inference model launched by xAI, designed to deliver cutting-edge performance for both enterprise and consumer applications. It places particular emphasis on improving token efficiency, driving the development of smaller, faster AI models, and making high-quality inference capabilities accessible to more users and developers.

• Ultimate Cost Efficiency: In inference benchmarks, Grok 4 Fast outperforms Grok 3 Mini, reducing token costs. While matching the performance of Grok 4, it uses 40% fewer thinking tokens, resulting in a 98% reduction in costs compared to Grok 4.
• Native Tools and Top-Tier Search: It supports code execution, web browsing, and other features, with real-time data search and analysis capabilities. It leads in multilingual search benchmarks.
• State-of-the-Art General Post-Training: It ranks at the top in multiple benchmarks, especially excelling in the LMArena search arena, where it outperforms other similar models.
• Unified Architecture Design: Adopting a unified model architecture, it can handle both inference and fast-response tasks without distinguishing between task types, reducing latency and token costs, and supporting real-time application scenarios.
• Ultra-Large Context Window: It supports a context window of up to 2 million tokens, enabling it to process large-scale text in a single go while ensuring stability and coherence in processing.

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Core Capabilities

⚡ Multi-Platform and Version Compatibility

• Unrestricted Access for All Users: Available on grok.com, as well as in iOS and Android apps. Free users enjoy unlimited access, with support for both quick and automatic modes, enhancing the search and information-query experience.
• Developer-Friendly Version: Provides API access, including both inference and non-inference versions, supporting a context window of up to 2 million tokens. Developers can adjust computing resources according to their needs.

🛠️ Key Scenario Performance

• Academic and Mathematical Reasoning: It performs exceptionally well in several highly challenging benchmarks, demonstrating outstanding ability to handle complex mathematical and academic tasks.
• Real-Time Information Retrieval and Analysis: It can handle real-time data-dependent tasks, such as multi-round searches and information integration, efficiently completing large-scale computations and validations.