SEAL Leaderboard
A tool to evaluate and rank large language models.
At a glance
Price not confirmed · Source review 2026-10-31- Price & billing
No pricing is shown in the reviewed text; the page presents public benchmark rankings.
- Free allowance
Not separately confirmed. Check the current plan before relying on a free allowance.
- Best suited to
AI teams comparing frontier models on coding, reasoning, and safety before choosing one.
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
AI teams comparing frontier models on coding, reasoning, and safety before choosing one.
Limits and trade-offs
Benchmark scores shown are snapshots with uncertainty ranges and change as models and benchmarks update; verify current rankings before citing. The page ranks models per benchmark, not as one universal winner.
Plans and free allowances
No pricing is shown in the reviewed text; the page presents public benchmark rankings.
Evidence
Scale SEAL Leaderboard page ↗ (reviewed 2026-10-31)
Official published page review; no authenticated product test
Dates: Last reviewed 2026-10-31. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at SEAL Leaderboard
SEAL Leaderboard from Scale Labs publishes expert-driven LLM benchmarks: over 20 benchmarks covering agentic coding, frontier reasoning, and safety alignment, with 100+ models evaluated from leading labs including OpenAI, Anthropic, Google, Meta, and open-source contributors.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose SEAL Leaderboard
- AI teams comparing frontier models on coding, reasoning, and safety before choosing one.
- Researchers who want expert-curated benchmarks such as Humanity's Last Exam, DistressBench, and DrugDiscoveryBench.
- Anyone tracking how model rankings change as new models are added.
When to choose something else
- Teams that need a single overall score; the page ranks models per benchmark with uncertainty ranges, not one universal winner.
- People looking for a tool to run their own model evaluations; the page is a public leaderboard, not an evaluation service.
A practical starting workflow
- Open the leaderboard and pick a benchmark family: agentic, safety, or frontier.
- Compare model scores and uncertainty ranges on that benchmark.
- Drill into a benchmark such as Humanity's Last Exam or DistressBench for its full ranking.
- Revisit as new models and benchmarks are added to the leaderboard.
Check before committing
- Benchmark scores shown are snapshots with uncertainty ranges and change as models and benchmarks update; verify current rankings before citing.
- The page ranks models per benchmark, not as one universal winner, so a top score on one benchmark does not mean best on all.
- No pricing is shown in the reviewed text; the page presents public benchmark rankings.
Common questions
What does it benchmark?
Over 20 benchmarks covering agentic coding, frontier reasoning, and safety alignment, with 100+ models evaluated from leading labs including OpenAI, Anthropic, Google, Meta, and open-source contributors.
How do I use the leaderboard?
Pick a benchmark family (agentic, safety, or frontier), compare scores and uncertainty ranges, and drill into a benchmark such as Humanity's Last Exam or DistressBench for its full ranking.
Does it cost anything?
No pricing is shown in the reviewed text; the page presents public benchmark rankings.
Compare approaches for this task
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Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.