# 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.

Canonical page: https://benchlm.ai/benchmarks/mewc

- Category: [Agentic](/agentic)
- Last updated: October 17, 2026

## About MEWC

- Year: 2026
- Tasks: Web-agent tasks
- Format: Browser task completion
- Difficulty: Open-web agent workflows
- Paper: [MiniMax M2.5 benchmark release surface](https://www.minimax.io/news/minimax-m25)

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.

MEWC is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (0 models)

Benchmark data for this page is coming soon.

## 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?

No sourced model results are published for MEWC on BenchLM yet.

### How many models are evaluated on MEWC?

0 AI models have published results on MEWC in the BenchLM catalog.

### Does MEWC affect BenchLM's overall score?

Not directly. MEWC is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.