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SEAL LLM Leaderboards
SEAL LLM Leaderboards presents expert-driven benchmarks and rankings across coding, reasoning, and other areas.
About SEAL LLM Leaderboards
SEAL LLM Leaderboards publishes benchmarks and rankings for large language models and AI agents. It lists 20+ benchmarks and 100+ models from OpenAI, Anthropic, Google, Meta, and open-source contributors.
Benchmarks are grouped into agentic, safety, and frontier areas, covering coding tasks, reasoning, tool use, spoken dialogue, visual input, and professional and scientific work. Each benchmark shows scored model rankings with a full ranking view.
Key features
- Rankings across agentic, safety, and frontier benchmark categories
- Agentic coding benchmarks including SWE Atlas and SWE-Bench Pro V2
- Professional reasoning benchmarks for finance and legal practice
- Spoken dialogue evaluation via AudioMultiChallenge text and audio tracks
- Visual reasoning benchmarks including HSS and VisualToolBench
- Safety evaluation via DistressBench and PropensityBench
Best for: People comparing AI models across coding, reasoning, and safety benchmarks benefit most.
Good for
- Covers 20+ benchmarks across agentic, safety, and frontier areas
- Includes 100+ models from OpenAI, Anthropic, Google, Meta, and open-source contributors
- Shows scored rankings with full ranking views per benchmark
SEAL LLM Leaderboards at a glance
- Website
- scale.com/leaderboard
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
SEAL LLM Leaderboards alternatives
Tools and sites you could use instead, ranked by how closely they match.
IUMB benchmarks language models on undergraduate-level mathematics problems.
The Wolfram LLM Benchmarking Project tracks model performance on a code-generation task written in Wolfram Language.
PoweredByAI catalogs AI tools across categories such as writing, coding, image generation, video, and automation.
This site curates AI coding tools, agents, skills, and SDKs for developers.
LocalModelsLinks collects guides and references for running and tuning language models locally.
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