Benchmark profile
Multi-Environment Web Challenge (MEWC)
A benchmark that evaluates AI agents on multi-environment web challenges, testing navigation and task completion across diverse live web environments.
Data verifiedBenchmark score on MEWC — July 23, 2026
BenchLM mirrors the published score view for MEWC. MiniMax M2.5 leads the public snapshot at 74.4%. BenchLM does not use these results to rank models overall.
Benchmark score table (1 model)
ScoreAbout MEWC
Year
2026
Tasks
Web-agent tasks
Format
Browser task completion
Difficulty
Open-web agent workflows
MEWC is useful as an agentic browsing benchmark because it focuses on open-web interaction and multi-environment task execution rather than single-site scripted browsing.
BenchLM freshness & provenance
Version
MEWC 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does MEWC measure?
A benchmark that evaluates AI agents on multi-environment web challenges, testing navigation and task completion across diverse live web environments.
Which model scores highest on MEWC?
MiniMax M2.5 by MiniMax currently leads with a score of 74.4% on MEWC.
How many models are evaluated on MEWC?
1 AI models have been evaluated on MEWC on BenchLM.
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