Grok ✓

A 2.1T-parameter foundation points to a substantially larger pre-trained model rather than another post-training refresh.

Better token efficiency is expected to complete tasks with fewer output tokens despite the increase in model scale.

Overall capability is positioned above the previous generation across its existing workloads, with serving speed as the main tradeoff.

Slightly slower inference suggests the larger model prioritizes task quality and efficiency over maximum token throughput.

A separate larger pre-training run signals xAI is combining aggressive model scaling with continued iteration on efficiency.

Handles difficult long-running tasks more effectively by investigating problems, using tools, recovering from mistakes, and verifying results in realistic environments.

Extends beyond software engineering into data science, finance, legal work, and other computer-based knowledge tasks with a broader training mix.

Improves agent-style computer work through training on large volumes of codebase interactions and developer-agent behavior with software tools.

Gains stronger robustness on hard problems through reinforcement learning environments designed specifically to remain challenging even for frontier systems.

Offers a separate fast variant, indicating a higher-speed option alongside the main weight class for lower-latency workflows.

Sustains longer agent workflows with stronger performance across research, coding, analysis, and other complex multi-step tasks.

Produces stronger first-pass visual and interactive applications, with better structure, visual language, and refinement across feedback cycles.

Improves self-testing and verification during long trajectories, checking work more often before continuing execution.

Delivers higher coding and knowledge-work performance through expanded training on engineering, STEM, reasoning, CAD, web development, and specialized agent environments.

Reaches stronger benchmark performance across software engineering and professional knowledge tasks while retaining a fast variant for lower-latency use.

Substantial gains in real-world, multi-step, agentic workflows, especially in evaluation scenarios simulating economic or decision-making tasks

Achieves higher Intelligence Index scores at a lower total cost, despite increased output token usage

Positions Grok 4.3 among the most cost-efficient models in its performance tier, improving overall price-performance ratio.

Much larger Mixture-of-Experts flagship is expected, positioned as the next big scale jump in the Grok line.

Built-in multimodal design is expected (text, images, video, audio) rather than bolted-on vision.

Multi-agent architecture is expected to be a core feature, expanding the 4.20 multi-agent idea into a more dynamic system.

A “Truth Mode 2.0 / Reality Engine” style feature is expected, centered on real-time X signal analysis and claim verification.

Early-2026 timing is expected, with “Q1 2026” being the most repeated window across the higher-quality reporting

Stronger reasoning for math and multi-step logic, with more consistent step-by-step problem solving.

Better long-form conversation stability, with fewer abrupt topic jumps and less mid-answer cutoff.

Smarter context handling through heavier summarization of earlier turns to stay focused in long chats.

More reliable performance on long prompts, with improved coherence across extended back and forth.

Grok 4.1 talks with more personality, empathy, and clarity.

It understands intent better and feels more human and expressive.

Big jump in human preference tests, now top-ranked.

Better at creative and emotional tasks than 4.0.

Fewer hallucinations, more reliable facts.

Wider availability, including free access in the app.

Grok 4 achieves near-perfect scores on advanced math competitions, showcasing significant improvements in reasoning.

Trained on a 100x larger dataset than Grok 2, further boosting its accuracy and reliability.

Includes Grok 4 Code, a specialized model for coding tasks.

Offers improved code generation, better error correction, and stronger reasoning in programming contexts.

Introduces a new voice mode, allowing natural, real-time spoken interaction.

Sets the stage for future multimodal expansions such as real-time video analysis and 3D object recognition.

Builds on its Mixture-of-Experts architecture and introduces a “heavy” variant where multiple AI agents collaborate on complex tasks.

Trained on a refined, more accurate dataset, addressing prior concerns about bias and inaccuracies.

Aligns with Elon Musk’s goal of creating a “truth-seeking” AI.

Available for $30/month for the standard version.

Advanced “Super Grok Heavy” variant offered at $300/month, designed for professional or heavy use.

Increased Computational Power: Grok 3 was trained with 10 times more compute power than Grok 2, allowing for faster processing and the ability to handle more complex tasks efficiently.

Enhanced Reasoning Abilities: Grok 3 features significantly improved reasoning capabilities, excelling in areas like mathematics, science, and coding, with a step-by-step logical approach that outperforms its predecessor.

Multimodal Capabilities: Unlike Grok 2, which had limited multimodal support, Grok 3 can process and generate text, images, audio, and potentially video, making it far more versatile.

Efficient Context Utilization: Grok 3 leverages its 128K-token context window about 20% more effectively than Grok 2, thanks to better memory management, leading to improved coherence in longer interactions.

Real-Time Data Integration: Building on Grok 2’s real-time access, Grok 3 enhances this with tools like DeepSearch, a next-generation search engine that synthesizes up-to-date information from the web and X, boosting its relevance and accuracy.

Specialized Modes: Grok 3 introduces features like Think mode for detailed problem-solving and Big Brain mode, which allocates extra compute resources for tackling complex challenges, capabilities not available in Grok 2.

Improved Accuracy and Reliability: Grok 3 reduces inaccuracies and "hallucinations" through advanced logical reasoning, making it more dependable for intricate tasks compared to Grok 2.

Enhanced Multimodal Capabilities
Improved Problem-Solving and Reasoning
Real-Time Data Integration from X
Increased Accuracy and Instruction Following
Multilingual Support
Performance in Benchmarks
User Accessibility