The Best SWEBench Alternatives in 2026

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

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

MathArena evaluates language models using math benchmarks and publishes model results.

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

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

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

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

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

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

Aider LLM Leaderboards compares language models on code editing benchmarks.

AgentOps provides tools to trace, debug, and deploy AI agents, with a Python package and engineering resources.

Kaggle Benchmarks lets users build, run, and share evaluations of AI models and agents.

Rhesis helps AI teams annotate and review agent behavior so engineers can improve their agents.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

skill-optimizer benchmarks, evaluates, and optimizes skills to check their performance across large language models.