SEAL LLM Leaderboard
labs.scale.com/leaderboardExplore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
Looking for something like ccusage? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 7 are open source.
ccusage analyzes token usage and estimated costs for coding agent command-line tools.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | SEAL LLM Leaderboard | — | Not stated | Web |
| 2 | LLM Pricing | — | Not stated | Web |
| 3 | DeepSWE | — | Not stated | Web |
| 4 | Fiddler | — | Not stated | Web |
| 5 | OpenRouter | — | Not stated | Web |
| 6 | PricePerToken | — | Not stated | Web |
| 7 | Arena | — | Not stated | Web |
| 8 | WebDev Arena | — | Not stated | Web |
| 9 | Adala | — | Yes | — |
| 10 | Turbostream | — | Yes | — |
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
Calculate language model API costs using input, cached input, and output token counts.
DeepSWE benchmarks coding agents on long-horizon software engineering tasks and publishes a leaderboard.
Fiddler provides evaluation, monitoring, enforcement, governance, and cost controls for enterprise AI agents.
OpenRouter publishes language model rankings based on real usage through its API.
PricePerToken compares API costs for language models from multiple providers.
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.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
Turbostream analyzes real time streaming data with large language models.
AutoRAG helps an agent search for information across files on a computer.
InfraNodus analyzes text with knowledge graphs to reveal themes and gaps across notes, PDFs, surveys, search results, and other data.
A free downloadable guide covering strategies for testing large language models and analyzing their behavior.
AgentBench evaluates large language models acting as agents through a research paper and discussion page.
AgentOps provides tools to trace, debug, and deploy AI agents, with a Python package and engineering resources.
This guide explains LLM evaluation metrics, including measures for retrieval augmented generation and agents, with DeepEval examples.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.
This repository catalogs AI models across providers with pricing, context, modality, and capability data.
AwaDB provides an AI-focused embedding vector database with real-time search features.
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.
Composer lets users build trading algorithms with AI, backtest strategies, and execute them through an investment app.
Can I Run AI Locally checks which open models a device can run based on GPU, memory, and other hardware details.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative