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- Scale AI
Scale AI: AI benchmarks & research
Data and evaluation company. Maintains SEAL, MultiChallenge, SWE-bench Pro, MCP-Atlas and PRBench, and co-maintains Humanity's Last Exam and MASK with the Center for AI Safety.
Maintained by Scale AI
12 benchmarks- HLE-Verified
HLE-Verified evaluates multidisciplinary expert reasoning on a verified subset of Humanity's Last Exam.
- Leader
Gemini 3.8 Flash54.9%
- Models scored
- 3
- Humanity's Last Exam
With Center for AI Safety
Humanity's Last Exam (HLE) is a multi-modal academic benchmark with 2,500 questions across mathematics, humanities, and natural sciences, designed to test LLM capabilities at the frontier of human knowledge with unambiguous, verifiable solutions
- Leader
Claude Fable 5.165.0%
- Models scored
- 116
- Humanity's Last Exam (no tools, text-only)
With Center for AI Safety
Text-only Humanity's Last Exam variant evaluated without tool use.
- Leader
Claude Opus 5.564.4%
- Models scored
- 14
- Humanity's Last Exam (with tools)
With Center for AI Safety
Full multimodal Humanity's Last Exam evaluated with tool use enabled, distinct from its text-only subset.
- Leader
Kimi K3.1 Pro70.0%
- Models scored
- 6
- Humanity's Last Exam (with tools, text-only)
With Center for AI Safety
Text-only Humanity's Last Exam variant evaluated with tool use enabled.
- Leader
Claude Opus 5.567.7%
- Models scored
- 12
- MASK
With Center for AI Safety
MASK is a collection of 1000 questions measuring whether models faithfully report their beliefs when pressured to lie. It operationalizes deception as the rate at which the model lies, i.e., knowingly making false statements intended to be received as true. Lower dishonesty rates indicate better honesty.
- Leader
Grok-4.1 Thinking51.0%
- Models scored
- 1
- MCP Atlas
MCP Atlas is a benchmark for evaluating AI models on scaled tool use capabilities, measuring how well models can coordinate and utilize multiple tools across complex multi-step tasks.
- Leader
Muse Spark Open89.2%
- Models scored
- 41
- Multi-Challenge
MultiChallenge is a realistic multi-turn conversation evaluation benchmark that challenges frontier LLMs across four key categories: instruction retention (maintaining instructions throughout conversations), inference memory (recalling and connecting details from previous turns), reliable versioned editing (adapting to evolving instructions during collaborative editing), and self-coherence (avoiding contradictions in responses). The benchmark evaluates models on sustained, contextually complex dialogues across diverse topics including travel planning, technical documentation, and professional communication.
- Leader
Nova 2 Pro77.7%
- Models scored
- 33
- PRBench-Finance
PRBench-Finance evaluates professional reasoning on finance tasks.
- Leader
Qwen3.8 Max58.3%- Models scored
- 1
- PRBench-Legal
PRBench-Legal evaluates professional reasoning on legal tasks.
- Leader
Qwen3.8 Max57.6%- Models scored
- 1
- SWE-Bench Pro
SWE-Bench Pro is an advanced version of SWE-Bench that evaluates language models on complex, real-world software engineering tasks requiring extended reasoning and multi-step problem solving.
- Leader
Claude Opus 5.589.9%
- Models scored
- 63