EvalPlus vs HELM
EvalPlus
github.com
HELM
crfm.stanford.eduSide by side
| Figure | EvalPlus | HELM |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · LLM Evaluation Tools | 7.3 (#20) | 8.3 (#7) |
| Benchmarks | The framework supports HumanEval, MBPP, and EvalPerf evaluation. | It provides datasets and benchmarks in a standardized format, including MMLU-Pro, GPQA, IFEval, and WildBench. |
| Installation | EvalPlus can be installed from its GitHub repository or as a stable release using pip. | The project instructs users to install HELM from PyPI with `pip install crfm-helm`. |
| License | The repository provides the software under the Apache License 2.0, with files under evalplus/eval additionally complying with the MIT License. | The repository identifies HELM as open source and links to an Apache-2.0 license. |
| Purpose | EvalPlus is a framework for rigorously evaluating large language models on code related tasks. | HELM is an open-source Python framework for holistic, reproducible, and transparent evaluation of foundation models, including language and multimodal models. |
Plans
In their own words
HELM
HELM is an open-source Python framework for evaluating foundation models, including large language and multimodal systems. It supplies standardized datasets and benchmarks such as MMLU-Pro, GPQA, IFEval, and WildBench, with a unified interface for models from providers including OpenAI, Anthropic, and Google. Evaluations can examine accuracy, efficiency, bias, and toxicity, and can include custom metrics, LLM-as-a-judge checks, safety evaluations, and human review workflows. Users can configure private checkpoints or model servers, run inference locally, or send requests to an API. A web interface displays individual prompts and responses, while leaderboards compare models and benchmarks across areas such as medicine, finance, multilinguality, and world knowledge. HELM can reproduce published evaluation results and documents commands for running benchmarks, summarizing results, and starting a local server. It is free, Apache-2.0 licensed, and entered maintenance mode on June 1, 2026.