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Grok 4.6 - SpaceX AI's latest flagship large-scale model

Grok 4.6 is SpaceXAI's latest flagship large-scale model, boasting 1.5T parameters and a 500,000-token context. Its performance in benchmark tests, including encoding and agent performance, approaches that of Claude Fable 5 and GPT-5.6 Sol...

What is Grok 4.6?

Grok 4.6 is SpaceXAI's latest flagship large-scale model, boasting 1.5T parameters and 500,000 token contexts. Its performance in benchmark tests such as encoding and agent approaches that of Claude Fable 5 and GPT-5.6 Sol Max, with extremely fast response times. The model API is priced at $2 for one million inputs and $6 for one million outputs, significantly lower than comparable flagship models. Grok 4.6 supports text and image inputs, excels in complex software development and multi-step tasks, and is available on platforms such as Grok Build, Cursor, and xAI API.

Main features of Grok 4.6

  • Complex task processingIt supports multi-step research, analysis, and cross-codebase work, enabling the rapid transformation of broad product ideas into working prototypes and self-validation over long periods.
  • Coding ProjectIt approaches Fable 5 level in benchmarks such as CursorBench and DeepSWE, and supports vulnerability patching, engineering design, and code execution.
  • Multimodal reasoningSupports text and image input, with no length limit for text output. Offers four inference levels: Low/Medium/High/XHigh, and a context window of up to 500,000 tokens.
  • Tools and SafetySupports Function Calling, Web/X Search, and code execution; the security stack has been recalibrated for vulnerability patching and AI research scenarios.

Technical principles of Grok 4.6

  • Training architectureBased on Grok 4.5, a longer supplementary training time is performed, using a MoE architecture with a total parameter scale of 1.5T, along with an improved optimizer and training scheme, laying a more solid foundation for the subsequent SFT and RL stages.
  • Data and SFTGrok 4.5 is used to regenerate and filter SFT trajectories from fields such as inference, agent frameworks, STEM, and software engineering. High-quality engineering data and filtered model-generated data are also introduced to ensure training quality.
  • reinforcement learningBy training a wide range of agents in RL to cover specific environments such as knowledge work, general coding and kernel optimization, and web development, we enhance the model’s ability to continuously improve and self-verify from broad ideas to working prototypes.
  • Inference optimizationCompared to Grok 4.5, it achieves significant performance improvements at the same price point, and through deep optimization of the inference infrastructure, it maintains flagship-level intelligence while achieving extremely fast response speeds.

How to use Grok 4.6

  • Grok Build Web Pages/ApplicationsAccess the Grok Build web page or app, switch to Grok 4.6 in model selection, and you can directly chat and experience double usage for the first week.
  • Cursor EditorSwitch the model to [model name] in Cursor's AI assistant settings. cursor-grok-4.6It can be used to call upon its coding and reasoning capabilities during code editing and generation, and enjoys double the usage in the first week as well.
  • xAI API: via xAI official API (model identifier) grok-4.6You can call the Responses API or Chat Completions interface to integrate the model into your own products or automated workflows.

The core advantages of Grok 4.6

  • Flagship performanceIt closely approximates Claude Fable 5 and GPT-5.6 Sol Max in benchmark tests such as AA Intelligence Index, DeepSWE, and CursorBench, demonstrating capabilities for handling complex tasks, working across codebases, and rapid prototyping.
  • Ultra-fast responseGrok 4.6 achieves extremely fast feedback while maintaining top-tier intelligence, completely eliminating speed anxiety for flagship models.
  • Ultimate cost-effectivenessThe API price is only about 1/5 to 1/8 of the Fable 5, and the SuperGrok Heavy subscription includes a Cursor Ultra membership. It is currently the only flagship model that maximizes performance, price, and speed simultaneously.

Grok 4.6 Comparison with Similar Products

Comparison Dimensions Grok 4.6 Claude Fable 5
Publisher SpaceXAI (xAI) Anthropic
Parameter Scale 1.5T (MoE) Not disclosed
Context window 500K tokens 200K tokens
Multimodal Text + Image Input Text + Image + PDF: Full Multimodal
Output Limitation Unrestricted Length limit
Knowledge Deadline February 1, 2026 earlier
Response speed ⭐⭐⭐⭐⭐ Extremely fast (seconds) ⭐⭐⭐ Relatively slow (ten to half an hour)
Engineering stability Good, but slightly inferior in the very long run. ⭐⭐⭐⭐⭐ The strongest in the industry
AA Intelligence Index 61 62
DeepSWE v1.1 65.9% 70%
CursorBench v3.2 69.9% 70.5%
Terminal-Bench v3.0 26% 34.1%
Code Arena WebDev 1618 (7th) 1627 (5th)
API Input / 1M $2.00 ~$10.00 (5 times more expensive)
API output / 1M $6.00 ~$50.00 (8.3 times more expensive)
Subscription Plan SuperGrok Heavy $300/month (includes Cursor Ultra $200) Pro $200/month + API fee extra
Best scenario Daily Vibe Coding, Rapid Prototyping, and Long Document Analysis Ultra-large-scale critical projects, financial-grade code, endpoint automation
Core advantages Speed + cost-effectiveness Stability + Engineering Reliability
One-sentence positioning The fastest near-Fable engineer The most stable top engineers

Application scenarios of Grok 4.6

  • High-frequency Vibe CodingSuitable for daily programming and prototyping that requires rapid iteration and immediate feedback, with the best experience when used in conjunction with Grok Build or Cursor.
  • Complex Software EngineeringIt can handle cross-codebase work and multi-step system architecture design, but it is recommended to use it in conjunction with Claude Fable 5 for very large and critical projects.
  • Product Prototype BuildingIt can transform broad product ideas into a working initial version with structure and visual language in one go, making it suitable for startup teams to quickly validate ideas.
  • Vulnerability patching and security researchThe security stack is specifically calibrated for scenarios such as vulnerability patching and AI research, making it suitable for security engineers and researchers.
  • Real-time interactive developmentIn design and development processes that require close human-machine collaboration and rapid trial and error, its extremely fast response can significantly shorten the feedback loop.