The Best SEAL LLM Leaderboard Alternatives in 2026

ccusage analyzes token usage and estimated costs for coding agent command-line tools.

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

Aider LLM Leaderboards compares language models on code editing benchmarks.

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

LLMrefs tracks brand visibility, rankings, and citations across generative AI search tools and benchmarks competitors.

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

OpenRouter publishes language model rankings based on real usage through its API.

Code Arena lets users build and test web apps with AI coding models while comparing their accuracy and logic.

WebDev Arena ranks AI models on front-end web development tasks and multi-step coding workflows.

Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).

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

Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.

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.

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

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.

LLMeBench provides a flexible framework for benchmarking large language models.

PricePerToken compares API costs for language models from multiple providers.

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.

NuExtract extracts structured JSON and Markdown from documents using multimodal language models.