Leaderboard
Which AI is best — and when?
We test every major AI model on real-world tasks: reasoning, tool use, memory, and security.
This is how WebAir AI knows which model to pick for every question you ask.
Methodology
What we test
Every model is evaluated on what actually matters for business AI: reasoning, tool use, memory continuity, and safe execution.
All
Browse all benchmark tracks across frontier, agentic, and safety evaluations.
Agentic
Benchmarks focused on tool use, workflow execution, and long-horizon task completion.
Safety
Benchmarks for privacy, secure execution pathways, and guarded model behavior.
Reasoning
Multi-step problem solving, logic, planning, and decision quality across complex prompts.
Tool Use
Accuracy and efficiency when using MCP tools, external APIs, and structured business systems.
Memory
Performance with imported memory, long-lived context, and cross-session continuity.
Privacy
Cortyx™-enforced proxy execution, memory isolation, and protected model access pathways.
Humanity's Last Exam
Challenging LLMs at the frontier of human knowledge
Public frontier benchmark tracking high-complexity reasoning across knowledge-dense domains.
gpt-5.4-pro-2026-03-05
NEWOpenAI
44.32 ± 1.95
gemini-3-pro-preview
37.52 ± 1.90
gpt-5.4-2026-03-05 (xhigh thinking)
NEWOpenAI
36.24 ± 1.88
Humanity's Last Exam (Text Only)
Challenging LLMs at the frontier of human knowledge
Text-only track isolating pure reasoning quality without multimodal assistance.
gpt-5.4-pro-2026-03-05
NEWOpenAI
45.32 ± 2.10
gemini-3-pro-preview
37.72 ± 2.04
gpt-5.4-2026-03-05 (xhigh thinking)
NEWOpenAI
36.47 ± 2.03
SciPredict
Forecasting scientific experiment outcomes
Measures model performance on predicting experiment outcomes from incomplete research context.
gemini-3-pro-preview
25.27 ± 1.92
claude-opus-4-5-20251101
Anthropic
23.05 ± 0.51
claude-opus-4-1-20250805
Anthropic
22.22 ± 1.48
MultiChallenge
Assessing models across diverse, interdisciplinary challenges
General frontier benchmark measuring broad task range, synthesis, and reasoning consistency.
gemini-3.1-pro-preview
NEW71.37 ± 1.74
gpt-5.4-pro-2026-03-05
NEWOpenAI
69.23 ± 3.05
gemini-3-pro-preview
65.67 ± 2.20
Professional Reasoning Benchmark — Finance
Evaluating professional reasoning in finance
Focuses on finance-domain judgment, structured analysis, and professional task reliability.
claude-opus-4-6 (Non-Thinking)
Anthropic
53.28 ± 0.18
gpt-5
OpenAI
51.32 ± 0.17
gpt-5-pro
OpenAI
51.06 ± 0.59
Professional Reasoning Benchmark — Legal
Evaluating professional reasoning in legal practice
Measures legal reasoning accuracy, argument quality, and handling of professional ambiguity.
claude-opus-4-6 (Non-Thinking)
Anthropic
52.27 ± 0.66
gpt-5-pro
OpenAI
49.89 ± 0.36
o3-pro
OpenAI
49.67 ± 0.50
Evaluate your model
Want your model tested in a real business AI environment?
If you want to evaluate your model in a WebAir AI task environment, contact our team. We run benchmarks that include tool use, imported memory, private execution pathways, and long-horizon decision quality inside Cortyx™.
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Why it matters
The best model depends on the task.
No single AI model is the best at everything. WebAir AI evaluates each task and picks the strongest model — so your team always gets the best answer.
Get the best AI model for every task — automatically.
WebAir AI picks the strongest model for each question, so your team never has to guess.