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Introducing Grok 4.6

Introducing Grok 4.6

AI agentsllm X.ai
xAI released Grok 4.6, a reasoning-focused model optimized for long-running agentic tasks that matches the performance of OpenAI's GPT-5.6 Sol.
What: Grok 4.6 is trained on extensive agentic RL and engineering datasets, achieving top scores on benchmarks like DeepSWE 1.1 and CursorBench 3.2. It is available via API and integrated into Cursor at $2 per million input tokens.
Why it matters: The focus on 'long-running agents' and 'self-verification' signals a move toward models that can handle multi-step development cycles autonomously without constant human intervention.
Takeaway: Test Grok 4.6 in the Cursor editor or via the x.ai API, where 2x usage is currently included for the first week.
Deep dive
  • Features improved capability for sustained work over many steps, including researching, structuring, and iterating on codebases.
  • Uses model-based filtering for SFT trajectories to remove poor reasoning chains.
  • Demonstrates strong self-testing capabilities where the model validates its own output before continuing.
  • Optimized for complex interactive and visual tasks compared to previous versions.
  • Extensive pre-deployment safety evaluation performed to calibrate safeguards for technical tasks like vulnerability patching.
Decoder
  • Agentic RL: Reinforcement learning techniques specifically designed to train AI models to act as agents that navigate environments and complete multi-step tasks.
  • SFT (Supervised Fine-Tuning): The process of training a pre-trained model on a curated dataset of inputs and high-quality outputs to improve performance in specific domains.
  • DeepSWE: A benchmark used to evaluate how well models perform in software engineering tasks (SWE stands for Software Engineering).
Original article

Introducing Grok 4.6

Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work.

Today we are releasing Grok 4.6. Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application or work artifact.

Grok 4.6 achieves frontier intelligence across several agentic coding and knowledge work benchmarks. It matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index, which is a composite score of nine benchmarks.

Grok 4.6 is available today in Cursor and Grok Build. We’re offering 2x included usage inside Grok Build and Cursor for the first week so you can start trying 4.6 immediately.

Training Grok 4.6

Grok 4.6 underwent a longer supplemental training run than Grok 4.5, with curated model-generated data for reasoning and advanced technical concepts, high-quality engineering data, and an improved optimizer and training recipe. This produced a stronger foundation for the SFT and RL stages that followed.

We then used Grok 4.5 to regenerate the SFT trajectories across reasoning efforts, agent harnesses, and domains such as STEM, software engineering, and knowledge work, and filtered out problematic traces with model-based checks. The resulting SFT checkpoint shows strong performance and improved behavior.

Grok 4.6 is trained on a wide range of agentic RL tasks, including knowledge work, general coding, and domain-specific environments for kernel optimization, web development, computer-aided design, and more.

Turning ambitious ideas into working projects

We tested Grok 4.6 on projects designed to stretch its range and ability to sustain work over many steps. We found the model is especially strong at turning a broad product idea into a working first version. It can research unfamiliar domains, structure the application, implement the core interactions, and continue refining the result through several rounds of feedback.

On longer trajectories, we also started to see more self-testing and verification, with the model checking its own work before moving on.

Grok 4.6 produces stronger first passes on visual and interactive projects than we typically saw with Grok 4.5. Given a concrete product idea, it is able to establish structure and visual language for an application in one pass. This has made it especially useful for projects where the fastest route to a good result was to begin with something substantial and then iterate in the loop.

Safety and capabilities

Grok 4.6’s safeguards have been improved and calibrated in line with the model’s capabilities.

Our safety stack is designed to maximize utility and security across legitimate use cases, allowing Grok 4.6 to be helpful and safe in domains such as vulnerability patching, accelerating the engineering design cycle, and augmenting AI research.

Our safeguard evaluation work reflects Grok 4.6’s expanded capabilities, with our widest-ever suite of pre-deployment testing for capabilities and safeguard calibration, as well as extensive post-deployment and third-party testing.

Evals

Get started with Grok 4.6

Grok 4.6 is available today in Cursor and Grok Build. It’s also available in the API and other partners like OpenRouter, Vercel, and Cloudflare.

Pricing starts at $2 per million input tokens and $6 per million output tokens. Additionally, there is a fast variant which is twice the price.

We’re offering 2x included usage inside Grok Build and Cursor for the first week so you can start trying 4.6 immediately.

Create an API Key

Start building with Grok 4.6 today via the SpaceXAI API.

API Docs

Read the docs and integrate Grok 4.6 into your stack.

Try it in Grok Build for free

Get started today at x.ai/build.

$ curl -fsSL https://x.ai/cli/install.sh | bash
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