What is the context window size for Grok 4.3 in Atlas?

Grok 4.3 provides a substantial 1,000,000 token context window, allowing Atlas to process very large codebase-index result sets without paging, which is highly beneficial for deep code analysis.

How much does it cost to use Grok 4.3 with Atlas in 2026?

In 2026, Grok 4.3 is priced at $1.25 per Mtok for input and $2.50 per Mtok for output. This makes it the most cost-effective 1M context reasoning model from a US lab.

Is Grok 4.3 suitable for code generation and editing tasks in Atlas?

Grok 4.3 supports reasoning and tool calling, making it a viable Atlas build-agent model. However, its 30,000 max output token limit means large diffs or extensive code generation may require multiple turns, which can be less efficient for big refactors.

What is the main limitation of Grok 4.3 when used with Atlas?

The primary limitation of Grok 4.3 is its 30,000 max output token ceiling. This is the tightest among frontier-adjacent models and can interact negatively with Atlas's diff-reviewed edit flow for large-scale code modifications.

Can Atlas use Grok 4.3 for code search?

Yes, Atlas can effectively use Grok 4.3 for code search. Its 1M token context window is practical for feeding large codebase-index result sets, enhancing Atlas's Axis, the hybrid semantic and keyword code search capabilities.

When should I use Grok 4.5 instead of Grok 4.3 with Atlas?

You should prefer Grok 4.5 over Grok 4.3 for large code edits and refactoring tasks. Grok 4.3's 30,000 token output cap can make generating and reviewing extensive diffs less efficient, whereas Grok 4.5 is better suited for such scenarios.

How do I configure Atlas to use Grok 4.3?

To configure Atlas with Grok 4.3, you need to export your `XAI_API_KEY`, then run `atlas models xai` to find `grok-4.3`, and finally select it from the `/models` interface within Atlas.

Atlas with Grok 4.3 in 2026

Grok 4.3 from xAI, available in 2026, is an excellent choice for driving Atlas's code analysis and reasoning capabilities, especially for large codebases. With a 1M token context window and pricing at $1.25 per Mtok input and $2.50 per Mtok output, it stands out as the cheapest 1M context reasoning model from a US lab.

What is Grok 4.3 best for in Atlas?

Grok 4.3 excels in Atlas for deep code analysis and reasoning tasks, particularly when dealing with large codebases. Its 1,000,000 token context window allows Atlas to process extensive codebase-index result sets without needing to page, making it a powerful tool for understanding complex projects in 2026.

Atlas leverages Grok 4.3's robust reasoning and tool calling capabilities to perform comprehensive code searches, powered by Axis, the hybrid semantic and keyword code search. The model's ability to handle a 1M token context window means Atlas can feed it substantial amounts of indexed code, built by AST declarations using tree-sitter, for detailed examination. This makes Grok 4.3 a viable model for Atlas's read-only plan agent, where it can draft a plan and ask for approval before switching to a build agent. Developers in 2026 will find Grok 4.3 particularly effective for understanding system architecture, identifying patterns, and preparing for targeted modifications, especially given its cost-effectiveness for output tokens.

How does Grok 4.3's pricing and context window compare?

Grok 4.3 offers a highly competitive pricing structure in 2026, with input tokens at $1.25 per Mtok and output tokens at $2.50 per Mtok, combined with a generous 1M token context window. This makes it the cheapest 1M context reasoning model from a US lab by a wide margin, especially when compared to models like Gemini 3.1 Pro at $12 or GPT-5.6 at $30 for output.

The 1,000,000 token context window of Grok 4.3 is a significant advantage for Atlas users, enabling the agent to ingest and process vast amounts of code and related information without fragmentation. This is crucial for Atlas's ability to index code by AST declarations and perform sophisticated searches. While the context window is expansive, the pricing is a key differentiator. At $2.50 per Mtok for output, Grok 4.3 is substantially more affordable than other frontier-adjacent models available in 2026, making it an attractive option for developers who need powerful reasoning capabilities without incurring prohibitive costs. This balance of capacity and cost positions Grok 4.3 as a strong contender for many Atlas workflows.

What are the tradeoffs when using Grok 4.3 with Atlas?

Despite its strengths, Grok 4.3 has a notable tradeoff: a tight 30,000 max output token ceiling, which is the narrowest among frontier-adjacent models in 2026. This limitation can significantly impact Atlas's diff-reviewed edit flow, especially during large refactoring tasks where extensive changes need to be communicated across multiple turns.

The 30,000 max output token limit means that Atlas, which computes a unified diff for every file edit and surfaces it for approval, may struggle to present very large diffs in a single response from Grok 4.3. For complex refactors or extensive code generation, Atlas might need to break down the output into several smaller chunks, requiring more interaction turns from the user. This can slow down the iterative development process that Atlas is designed to streamline. While Grok 4.3 is excellent for analysis and planning, developers should be aware that for substantial code modifications, particularly those involving many files or large-scale changes, switching to a model with a higher output token limit, such as Grok 4.5, is recommended to maintain workflow efficiency.

When should I choose a different model over Grok 4.3 for Atlas?

Developers should consider switching from Grok 4.3 to an alternative model, like Grok 4.5, when undertaking large-scale code edits or refactors in 2026. Grok 4.3's 30,000 max output token limit can hinder Atlas's ability to present comprehensive diffs for approval in a single turn, making extensive modifications less efficient.

While Grok 4.3 is highly effective for read and analysis work within Atlas, its constrained output budget interacts poorly with Atlas's diff-reviewed edit flow when dealing with significant changes. Atlas's core functionality includes computing a unified diff for every file edit and surfacing it for approval before writing. If a proposed change generates a diff exceeding 30,000 tokens, Grok 4.3 will be forced to segment this output, potentially leading to a fragmented review experience. For tasks that involve substantial code generation, large-scale refactoring across multiple files, or any scenario where a single, comprehensive output is critical for efficient review and approval, it is advisable to switch to a model specifically noted for larger output capacities, such as Grok 4.5, to optimize the Atlas agent's performance.

Setup

01Export your xAI API key: `export XAI_API_KEY="your_api_key_here"`
02Run the Atlas models command for xAI: `atlas models xai`
03Locate `grok-4.3` in the list of available models.
04Select `grok-4.3` from the `/models` interface within Atlas.
05For large code edits or refactors, consider switching to Grok 4.5 due to Grok 4.3's 30,000 token output cap.

Frequently asked questions

What is the context window size for Grok 4.3 in Atlas?: Grok 4.3 provides a substantial 1,000,000 token context window, allowing Atlas to process very large codebase-index result sets without paging, which is highly beneficial for deep code analysis.
How much does it cost to use Grok 4.3 with Atlas in 2026?: In 2026, Grok 4.3 is priced at $1.25 per Mtok for input and $2.50 per Mtok for output. This makes it the most cost-effective 1M context reasoning model from a US lab.
Is Grok 4.3 suitable for code generation and editing tasks in Atlas?: Grok 4.3 supports reasoning and tool calling, making it a viable Atlas build-agent model. However, its 30,000 max output token limit means large diffs or extensive code generation may require multiple turns, which can be less efficient for big refactors.
What is the main limitation of Grok 4.3 when used with Atlas?: The primary limitation of Grok 4.3 is its 30,000 max output token ceiling. This is the tightest among frontier-adjacent models and can interact negatively with Atlas's diff-reviewed edit flow for large-scale code modifications.
Can Atlas use Grok 4.3 for code search?: Yes, Atlas can effectively use Grok 4.3 for code search. Its 1M token context window is practical for feeding large codebase-index result sets, enhancing Atlas's Axis, the hybrid semantic and keyword code search capabilities.
When should I use Grok 4.5 instead of Grok 4.3 with Atlas?: You should prefer Grok 4.5 over Grok 4.3 for large code edits and refactoring tasks. Grok 4.3's 30,000 token output cap can make generating and reviewing extensive diffs less efficient, whereas Grok 4.5 is better suited for such scenarios.
How do I configure Atlas to use Grok 4.3?: To configure Atlas with Grok 4.3, you need to export your `XAI_API_KEY`, then run `atlas models xai` to find `grok-4.3`, and finally select it from the `/models` interface within Atlas.

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