MixEval
Dynamic benchmark for evaluating LLMs locally and quickly.
- Status
- UnmaintainedNo commits in 654 days.
- Last checked
- Checked · Oct 16, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
MixEval is a ground-truth-based dynamic benchmark that evaluates language models with high accuracy while running locally and efficiently, making it ideal for developers looking to test their models without significant time or cost overhead.
MixEval stands out as a highly efficient, local solution for evaluating LLMs with minimal time and cost overhead, offering developers an accurate yet lightweight alternative to more resource-intensive benchmarks.
When it fits — and when it doesn’t
A good fit for
Developers who need to quickly evaluate the performance of multiple language models locally
Data scientists looking for an efficient way to benchmark LLMs without high computational costs
Look elsewhere if
Teams requiring real-time evaluation or continuous monitoring of model performance
Projects that require cloud-based services for benchmarking and cannot run processes locally
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Small community and slow response to issues
GitHub repository has low activity levels with delayed responses to user-reported bugs and feature requests
What it does well
Highly accurate model ranking with a strong correlation to Chatbot Arena
Runs locally and quickly, significantly reducing time and cost compared to other benchmarks
Dynamic benchmark derived from off-the-shelf mixtures for versatile evaluation
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up MixEval
Setup steps, common gotchas and what to check after 30 days.