qcri/LLMeBench
github.com/qcri/LLMeBenchLLMeBench provides a flexible framework for benchmarking large language models.
Looking for something like OpenLM Arena? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 4 are open source.
OpenLM Arena compares open language models through leaderboards and benchmark results.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | qcri/LLMeBench | — | Not stated | — |
| 2 | Evaluating Large Language Models | — | Not stated | Web |
| 3 | The Hugging Face Open LLM Leaderboard | — | Not stated | Web |
| 4 | Aider LLM Leaderboards | — | Not stated | Web, Windows |
| 5 | SpeechMap.AI | — | Not stated | Web |
| 6 | Context Arena | — | Not stated | Web |
| 7 | VoxelBench | — | Not stated | Web |
| 8 | Evaluating LLMs is a minefield | — | Not stated | Web |
| 9 | Deploybase | — | Not stated | Web |
| 10 | Automated Social Science: Language Models as Scientist and Subjects NBER | — | Not stated | Web |
LLMeBench provides a flexible framework for benchmarking large language models.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
The Hugging Face Open LLM Leaderboard compares language models across evaluation tests including IFEval, MATH, and MMLU-Pro.
Aider LLM Leaderboards compares language models on code editing benchmarks.
SpeechMap.AI compares language models’ refusal rates on controversial speech topics.
Context Arena provides a leaderboard for evaluating language models on long-context tasks.
VoxelBench benchmarks language models on creating voxel builds from prompts.
This article discusses challenges in evaluating language models and interpreting benchmark results.
Deploybase compares GPU cloud and language model API prices, performance benchmarks, and provider market data.
This NBER paper studies language models as both researchers and subjects in automated social science.
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
SimpleBench evaluates everyday reasoning by comparing language models with human performance.
PricePerToken compares API costs for language models from multiple providers.
Indico benchmarks language models on extractive, classification, and predictive tasks.
FastDatasets helps create training datasets for large language models.
Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
Countless.dev compares AI models, prices, and features through a pricing calculator.
WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.
skill-optimizer benchmarks, evaluates, and optimizes skills to check their performance across large language models.
OpenRouter publishes language model rankings based on real usage through its API.
LifeArchitect publishes a reference table of language models and their specifications and data points.
A free downloadable guide covering strategies for testing large language models and analyzing their behavior.
Calculate language model API costs using input, cached input, and output token counts.
AgentBench evaluates large language models acting as agents through a research paper and discussion page.
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