What is the context window for Command A when used with Atlas?

Command A provides a substantial 256,000 token context window, allowing Atlas to process and understand very large codebases and extensive documentation during its operations, enabling deep analysis.

What is the output token limit for Command A in Atlas?

Command A has a fixed output ceiling of 8,000 tokens. For larger code modifications or refactors, Atlas will automatically manage this by splitting the work across multiple turns to stay within the limit.

How is Command A priced for Atlas users?

In 2026, Command A is priced at $2.5 per million input tokens and $10 per million output tokens. Its non-reasoning path ensures no additional hidden costs for internal model 'thinking' tokens.

Can Command A be deployed privately for use with Atlas?

Yes, Command A is one of the few frontier models that Cohere licenses for private VPC and on-prem deployment. This allows Atlas to connect to an internal endpoint, keeping your code off third-party servers.

How does Atlas handle Command A's 8,000 token output cap for large changes?

Atlas is designed to work within Command A's output constraints. For significant refactors or multi-file edits, Atlas's plan agent will decompose the problem and ask for one file at a time, ensuring successful completion within the 8,000 token limit.

Does Command A have a built-in reasoning mode for complex tasks?

No, Command A does not feature a dedicated reasoning mode. It relies on Atlas's read-only plan agent to decompose hard problems and structure the workflow, leveraging its vast context window for understanding rather than internal complex reasoning.

What are the primary benefits of using Command A with Atlas for enterprise developers?

Enterprise developers in 2026 benefit from Command A's 256,000 token context for deep code understanding, its predictable short answers, and the option for private VPC or on-prem deployment, which keeps sensitive code secure and off third-party servers.

How does Command A's non-reasoning path impact cost for Atlas users?

The non-reasoning path of Command A means that there are no hidden 'thinking' tokens billed at the higher $10 per Mtok output rate. This provides a more transparent and predictable cost structure for operations within Atlas.

Atlas with Command A in 2026

Atlas with Command A is an excellent choice for developers in 2026 who require a vast read window for complex codebases and predictable, concise outputs. With its 256,000 token context, it excels at understanding large projects, while its $2.5 per Mtok input and $10 per Mtok output pricing offers a clear cost structure, especially for its non-reasoning path.

What is Command A best for with Atlas?

Command A, Cohere's March 2025 flagship, offers a massive 256,000 token context window, making it ideal for Atlas users in 2026 who need to understand vast codebases. This extensive read capability allows Atlas to perform deep analysis across many files, enhancing its code search and planning capabilities significantly.

Command A's primary strength when integrated with Atlas is its unparalleled 256,000 token context window. This allows Atlas to ingest and comprehend an enormous amount of code, documentation, and project context simultaneously. For developers in 2026 working on large, complex projects, this means Atlas can perform highly accurate code searches using Axis, its hybrid semantic and keyword retrieval system, and build a more informed plan in its read-only plan agent. The ability to hold such a vast amount of information in context enables Atlas to grasp intricate dependencies and architectural nuances, leading to more relevant and effective code modifications and problem decomposition. This model is particularly well-suited for scenarios where deep understanding of an entire repository or a significant portion of it is critical before any changes are proposed.

What are the cost and context tradeoffs for Command A?

Command A presents a clear cost structure in 2026, priced at $2.5 per Mtok input and $10 per Mtok output, but it comes with an 8,000 token output ceiling. This modest output cap means Atlas must split large refactoring tasks into multiple turns, requiring careful management of the agent's workflow.

The pricing for Command A is $2.5 per Mtok input and $10 per Mtok output. A significant tradeoff to consider is its deliberately modest 8,000 token output cap. While the 256,000 token input context is expansive, the output limit means that Atlas cannot generate very large code blocks or refactor many files in a single turn. For developers in 2026, this necessitates a workflow where Atlas's plan agent decomposes larger problems into smaller, manageable chunks, often focusing on one file at a time for significant edits. The benefit of Command A's non-reasoning path is that there are no hidden 'thinking' tokens billed at the $10 per Mtok output rate, providing predictable costs for its operations within Atlas. This design suits enterprises that prioritize a large read window for understanding and predictable, short answers for execution.

When should I choose a different model over Command A for Atlas?

While Command A excels with its 256,000 token context, developers in 2026 should consider other models if their primary need is generating very large code blocks or performing complex, multi-step reasoning directly within the model. Its 8,000 token output cap and lack of a reasoning mode are key factors here.

Developers in 2026 should opt for a different model if their workflow frequently demands generating extremely large code outputs in a single interaction or if they require the model itself to perform intricate, multi-step reasoning without significant guidance from Atlas's plan agent. Command A's 8,000 token output ceiling is a limiting factor for extensive, single-turn refactors that span many lines or files. Furthermore, Command A lacks a dedicated reasoning mode, meaning it relies heavily on Atlas's read-only plan agent to break down hard problems and orchestrate complex tasks. If your priority is a model that can autonomously handle highly complex, multi-stage logical deductions and produce very verbose outputs without Atlas's explicit task decomposition, then Command A may not be the optimal choice for your Atlas driver.

How does Command A support enterprise deployments with Atlas?

For enterprises in 2026 prioritizing data privacy and control, Command A stands out as one of the few frontier models licensed for private VPC and on-prem deployment. This capability allows Atlas to connect to an internal endpoint, ensuring sensitive code remains off third-party servers, a critical security advantage.

Command A offers a significant advantage for enterprise developers in 2026 concerned with data sovereignty and security. Cohere is one of the few frontier vendors that will license Command A for private Virtual Private Cloud (VPC) and on-premise deployment. This means that Atlas can be configured to point at an internal endpoint, ensuring that sensitive proprietary code and data never leave your controlled environment and are not processed on third-party servers. This capability is crucial for organizations with strict compliance requirements or those handling highly confidential intellectual property. By keeping the model and code interaction within your infrastructure, Command A, when driven by Atlas, provides an enhanced layer of security and control over your AI-assisted development workflows.

Setup

01Create a key in the Cohere dashboard and export it as COHERE_API_KEY in your environment.
02Alternatively, run `atlas login`, choose Cohere from the provider list, and store the key securely in Atlas's credential store.
03Run `atlas models cohere` in your terminal to confirm that `command-a-03-2025` is successfully resolved from the registry.
04Pin `"model": "cohere/command-a-03-2025"` within your `atlas.json` configuration file to set Command A as the default model.
05Because Command A's output is capped at 8,000 tokens, instruct Atlas to work on one file at a time for large changes to ensure successful completion within the limit.

Frequently asked questions

What is the context window for Command A when used with Atlas?: Command A provides a substantial 256,000 token context window, allowing Atlas to process and understand very large codebases and extensive documentation during its operations, enabling deep analysis.
What is the output token limit for Command A in Atlas?: Command A has a fixed output ceiling of 8,000 tokens. For larger code modifications or refactors, Atlas will automatically manage this by splitting the work across multiple turns to stay within the limit.
How is Command A priced for Atlas users?: In 2026, Command A is priced at $2.5 per million input tokens and $10 per million output tokens. Its non-reasoning path ensures no additional hidden costs for internal model 'thinking' tokens.
Can Command A be deployed privately for use with Atlas?: Yes, Command A is one of the few frontier models that Cohere licenses for private VPC and on-prem deployment. This allows Atlas to connect to an internal endpoint, keeping your code off third-party servers.
How does Atlas handle Command A's 8,000 token output cap for large changes?: Atlas is designed to work within Command A's output constraints. For significant refactors or multi-file edits, Atlas's plan agent will decompose the problem and ask for one file at a time, ensuring successful completion within the 8,000 token limit.
Does Command A have a built-in reasoning mode for complex tasks?: No, Command A does not feature a dedicated reasoning mode. It relies on Atlas's read-only plan agent to decompose hard problems and structure the workflow, leveraging its vast context window for understanding rather than internal complex reasoning.
What are the primary benefits of using Command A with Atlas for enterprise developers?: Enterprise developers in 2026 benefit from Command A's 256,000 token context for deep code understanding, its predictable short answers, and the option for private VPC or on-prem deployment, which keeps sensitive code secure and off third-party servers.
How does Command A's non-reasoning path impact cost for Atlas users?: The non-reasoning path of Command A means that there are no hidden 'thinking' tokens billed at the higher $10 per Mtok output rate. This provides a more transparent and predictable cost structure for operations within Atlas.

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