> ## Documentation Index
> Fetch the complete documentation index at: https://docs.biomni.phylo.bio/llms.txt
> Use this file to discover all available pages before exploring further.

# Models & Compute

> Choose a model profile and understand how Biomni runs computational work

Biomni separates the model that plans and reasons from the compute that runs
code, scientific tools, and larger pipelines.

## Model profiles

When the model selector is available, choose a profile from the composer:

| Profile      | Best for                                         | Usage                  |
| ------------ | ------------------------------------------------ | ---------------------- |
| **Standard** | Everyday research and analysis                   | Lowest quota use       |
| **Fast**     | Lower-latency work on a lighter model            | Intermediate quota use |
| **Max**      | The most demanding reasoning and multimodal work | Highest quota use      |

The profiles and models available to you can vary by plan and workspace.
Some workspaces also expose a **Custom** submenu with direct model choices.

You can change the profile for an existing task when the agent is idle. A busy
task keeps its current profile until that run finishes.

<Tip>
  Start with Standard. Move to Fast when latency matters more than depth, or Max
  when the task needs stronger reasoning, image/PDF input, or a difficult review.
</Tip>

## Computational work

Biomni runs code in an isolated cloud workspace. It can use Python, R, and shell
tools, create files, and execute notebook cells. For larger workloads it can
start additional CPU, high-memory, or GPU machines and submit supported HPC
tools and pipelines.

Examples include:

* parallel processing across samples;
* high-memory assembly and genomics workflows;
* GPU-backed structure prediction and design; and
* versioned nf-core pipelines for common sequencing analyses.

You do not need to select a machine manually for ordinary work. Describe the
dataset and constraints; Biomni chooses an execution approach and reports
long-running background activity in the task.

## Usage and concurrency

Model calls and compute both contribute to usage. A complex task can consume
more than a short question even when each begins with one message. Plan limits
and concurrent-task capacity are shown in Biomni Lab and vary by plan.

See the [Pricing FAQ](/pricing-faq) for self-serve plan and billing details.