The Best MathArena Alternatives in 2026

This article discusses challenges in evaluating language models and interpreting benchmark results.

OpenLM Arena compares open language models through leaderboards and benchmark results.

SWE-bench publishes benchmark leaderboards for evaluating software engineering agents.

EQ-Bench publishes benchmarks for emotional intelligence, long-form writing, creative writing, and other model evaluations.

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.

The Hugging Face Open LLM Leaderboard compares language models across evaluation tests including IFEval, MATH, and MMLU-Pro.

SimpleBench evaluates everyday reasoning by comparing language models with human performance.

AgentBench evaluates large language models acting as agents through a research paper and discussion page.

Context Arena provides a leaderboard for evaluating language models on long-context tasks.

DeepSWE benchmarks coding agents on long-horizon software engineering tasks and publishes a leaderboard.

Indico benchmarks language models on extractive, classification, and predictive tasks.

Deploybase compares GPU cloud and language model API prices, performance benchmarks, and provider market data.

Aider LLM Leaderboards compares language models on code editing benchmarks.

VoxelBench benchmarks language models on creating voxel builds from prompts.

Querri connects business data, cleans and analyzes it in plain language, and organizes results around questions and KPIs.

Vals AI evaluates models on real-world tasks across fields including finance, software, cybersecurity, and healthcare.

This Hugging Face Space compares code generated by AI models across coding questions and test results.

WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.

LLMeBench provides a flexible framework for benchmarking large language models.

Artificial Analysis compares AI models and API providers using benchmarks for quality, price, speed, and latency.

RankedAGI compares AI models using benchmarks including SWE Bench, Codeforces, LMSYS, and LiveBench.

Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.