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

# AI Models for Strategy Evaluation: Speed and Cost Guide

> Compare AI models for strategy evaluation — balance speed, cost per event, and reasoning depth to match the right model to your trading style.

Every AI strategy on Everstrike uses a specific model to evaluate markets and decide whether to trade. Your model choice has a direct impact on two things: how quickly each evaluation completes and how many credits each event consumes. More powerful models with deeper reasoning produce richer analysis but cost more and take longer — simpler models are faster and cheaper but less analytical. Select the model that best fits your strategy's evaluation frequency, complexity, and cost budget.

## Available Models

| Model                        | Typical Speed | Cost per Evaluation | Description                              |
| ---------------------------- | ------------- | ------------------- | ---------------------------------------- |
| GPT-4o-mini                  | 1s            | \$0.000125          | Oldest model.                            |
| GPT-4.1                      | 1.5s          | \$0.0015            | Fast, expensive, and powerful.           |
| GPT-4.1-mini                 | 1s            | \$0.00015           | Default model. Best for most strategies. |
| GPT-4.1-nano                 | 0.5s          | \$0.000075          | Very fast and inexpensive.               |
| GPT-5-mini-minimal-reasoning | 3s            | \$0.0002            | Balanced.                                |
| GPT-5-nano-minimal-reasoning | 3s            | \$0.00005           | Inexpensive.                             |
| GPT-5-mini-low-reasoning     | 5s            | \$0.0004            | Moderately powerful.                     |
| GPT-5-nano-low-reasoning     | 5s            | \$0.0001            | Inexpensive and moderately powerful.     |
| GPT-5-mini-medium-reasoning  | 10s           | \$0.0008            | Powerful.                                |
| GPT-5-nano-medium-reasoning  | 10s           | \$0.0002            | Inexpensive and powerful.                |
| GPT-5-mini-high-reasoning    | 20s           | \$0.002             | Very powerful and expensive.             |
| GPT-5-nano-high-reasoning    | 20s           | \$0.0004            | Powerful and inexpensive.                |

Speeds listed are averages, not guarantees. Actual evaluation time also depends on prompt length and the amount of data available to the model during each run.

## Evaluation Frequency Limit

<Note>
  Strategies with an evaluation frequency of **15 seconds or less** can only use `GPT-4.1-nano`. This restriction ensures evaluations complete fast enough to keep up with the chosen frequency.
</Note>

## Choosing the Right Model

Different strategies call for different models. Use the guidance below as a starting point:

<CardGroup cols={2}>
  <Card title="Most Strategies" icon="star">
    **GPT-4.1-mini** is the default and the best balance of speed, cost, and analytical capability. Start here unless you have a specific reason to switch.
  </Card>

  <Card title="Faster & Cheaper" icon="bolt">
    **GPT-4.1-nano** is the fastest and least expensive option. Use it for high-frequency strategies or when cost is the primary concern.
  </Card>

  <Card title="More Analytical Power" icon="brain">
    **GPT-5-mini with medium or high reasoning** provides deeper market analysis. Use it for complex prompts where reasoning quality matters more than speed or cost.
  </Card>

  <Card title="High-Frequency (15s or Less)" icon="gauge-high">
    **GPT-4.1-nano** is the only model available for strategies with an evaluation frequency of 15 seconds or less.
  </Card>
</CardGroup>

<Tip>
  Restricting the data available to your strategy can reduce the cost per evaluation by up to **50%**. Review the [Supported Data](/ai/supported-data) page to remove data points your prompt doesn't need.
</Tip>
