Compare LLM Performance
A promptfoo example that compares Mistral and Llama model outputs using OpenRouter.
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Why it matters
Evaluate and compare the performance of different large language models (LLMs) like Mistral and Llama. This asset helps you understand which model is better suited for specific tasks by running comparative tests.
Outcomes
What it gets done
Run comparative tests between Mistral and Llama models.
Analyze and summarize LLM performance metrics.
Identify strengths and weaknesses of different LLMs.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-compare-mistral-vs-llama | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Steps
Steps in the chain
Overview
Compare Mistral Vs Llama
A promptfoo example that demonstrates how to compare Mistral and Llama language models using OpenRouter. You configure prompts in text files, edit promptfooconfig.yaml, run evaluations, and view results through promptfoo's viewer. Use this example when you need to compare Mistral and Llama models for your specific prompts and use cases, especially during prototyping or before committing to a production model.
What it does
This promptfoo example sets up a testing environment where you can compare Mistral and Llama language models. You modify text files in the prompts/ directory and edit promptfooconfig.yaml, then run evaluations and view results through promptfoo's viewer.
When to use - and when NOT to
Use this example when you need to compare Mistral and Llama models for your specific use case, when you're evaluating model options, or during the prototyping phase before committing to a production model.
Do NOT use this if you've already committed to a specific model in production and lack the flexibility to switch, or if you need to compare more than two model families simultaneously (this example is specifically designed for Mistral vs Llama comparisons).
Inputs and outputs
You provide text files in the prompts/ directory containing your test prompts, configuration settings in promptfooconfig.yaml, and an OpenRouter API key for model access.
You receive evaluation results viewable through promptfoo's viewer interface.
Integrations
This example requires an OpenRouter API key and uses promptfoo's evaluation framework.
Who it's for
This example is for developers working with promptfoo who want to compare Mistral and Llama models using OpenRouter.
Getting started
Initialize the comparison example:
npx promptfoo@latest init --example compare-mistral-vs-llama
cd compare-mistral-vs-llama
Set your OPENROUTER_API_KEY environment variable, modify the prompt text files in the prompts/ directory and edit promptfooconfig.yaml. Then run the evaluation:
promptfoo eval
After the evaluation completes, view the results by running promptfoo view.
Source README
compare-mistral-vs-llama (Mistral Llama Comparison)
You can run this example with:
npx promptfoo@latest init --example compare-mistral-vs-llama
cd compare-mistral-vs-llama
Usage
To get started, set your OPENROUTER_API_KEY environment variable.
Next, change a few of the text files in prompts/ and edit promptfooconfig.yaml.
Then run:
promptfoo eval
Afterwards, you can view the results by running promptfoo view
FAQ
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Discussion
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