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 DeepSWE? Here are 18 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are open source.
DeepSWE benchmarks coding agents on long-horizon software engineering tasks and publishes a leaderboard.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | SEAL LLM Leaderboard | — | Not stated | Web |
| 2 | WebDev Arena | — | Not stated | Web |
| 3 | ccusage | — | Not stated | Web |
| 4 | Arena | — | Not stated | Web |
| 5 | SWEBench | — | Not stated | Web |
| 6 | Adala | — | Yes | — |
| 7 | Composer | Paid | Not stated | Web |
| 8 | Can I Run AI Locally | — | Not stated | Web |
| 9 | H2O AutoML | — | Not stated | Web |
| 10 | Context Arena | — | Not stated | Web |
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.
WebDev Arena ranks AI models on front-end web development tasks and multi-step coding workflows.
ccusage analyzes token usage and estimated costs for coding agent command-line tools.
Code Arena lets users build and test web apps with AI coding models while comparing their accuracy and logic.
SWE-bench publishes benchmark leaderboards for evaluating software engineering agents.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
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.
H2O AutoML automatically generates features and selections, with a no code AutoML offering.
Context Arena provides a leaderboard for evaluating language models on long-context tasks.
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.
Indico benchmarks language models on extractive, classification, and predictive tasks.
OpenLM Arena compares open language models through leaderboards and 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.
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