grok-3-mini

Grok 3 is an AI model series launched by xAI, positioned as a “reasoning agent” that seamlessly integrates exceptional reasoning capabilities with vast pre-trained knowledge. It focuses on delivering high-precision, traceable outputs in tasks such as mathematics, coding, scientific reasoning, and long-document processing.

• Superior Training Foundation: Trained on xAI’s Colossus supercluster, Grok 3 boasts a computational scale 10 times greater than that of xAI’s previous state-of-the-art models. Grok 3 mini, on the other hand, represents a new direction for efficient reasoning, tailored for STEM tasks that do not require extensive world knowledge.
• Top-Tier Reasoning Performance: Grok 3 (Think) has been optimized through large-scale reinforcement learning (RL), enabling it to think for seconds to minutes and supporting backtracking correction and multi-hypothesis exploration. Grok 3 mini (Think) achieved 95.8% on the 2024 AIME and 80.4% on LiveCodeBench.
• Comprehensive Academic Leadership: In non-reasoning modes, Grok 3 excels across multiple academic benchmarks, while Grok 3 mini also maintains strong competitiveness in corresponding benchmarks (e.g., 78.9% on MMLU-pro, 83.1% on LOFT [128k]).
• Contextual Processing: On the LOFT (128k) long-text RAG benchmark, Grok 3 mini achieves industry-leading average accuracy across 12 tasks, supporting complex document processing and precise information retrieval.
• Agent and Tool Integration: Grok 3 supports code interpreters and internet access, enabling proactive queries for missing context and dynamic strategy adjustments. It introduces the first AI agent, “DeepSearch,” which performs deep cross-human-knowledge corpus searches, synthesizes key information, resolves conflicting viewpoints, and generates concise, comprehensive reports—ideal for real-time news, social problem consultations, and in-depth research scenarios.
• Practical Features: Users can enable reasoning functionality via the “Think” button to view the full reasoning process. Grok 3 also offers enhanced factual accuracy and stylistic control, reducing “hallucination” outputs.

Core Capabilities

⚡ Multi-version adaptation for diverse needs

• Grok 3: Primarily targets high-complexity tasks, enhancing reasoning, mathematics, coding, world knowledge, and instruction-following abilities, suitable for deep academic research and complex code development scenarios.
• Grok 3 mini: Balances efficiency and cost, focusing on STEM tasks that do not require extensive world knowledge, ideal for lightweight reasoning and rapid-response requirements.
• Grok 3 (Think)/Grok 3 mini (Think): Beta-version reasoning models optimized via RL’s chain-of-thought (CoT) process, supporting long-term thinking and multi-hypothesis validation, perfect for challenging mathematical and logical reasoning tasks.

🛠️ Breakthroughs in Key Scenarios

• Mathematics and Scientific Reasoning: Covers competition-level mathematics (AIME) and graduate-level science problems (GPQA), capable of breaking down complex problems, backtracking corrections, and verifying solution accuracy, supporting research assistance and advanced education scenarios.
• Coding Capability: Can generate fully functional code—for example, developing a “Break-Pong” hybrid game based on pygame (combining Pong and Breakout elements)—including smooth animations, particle effects, complete game logic, and interactive controls. The code features clear structure and detailed comments.
• Multi-modal Understanding: Achieves 78% on the MMMU (multi-modal understanding) test, supporting the comprehension of image and video-related tasks, making it suitable for multi-modal information-processing scenarios.
• Intelligent Retrieval and Synthesis: Through the “DeepSearch” agent, it can retrieve information across massive knowledge sources, organize complex information, resolve conflicting viewpoints, and produce structured reports—far surpassing the information integration capabilities of traditional browser searches.