MEWC

MEWC is a benchmark that evaluates AI model performance on multi-environment web challenges, testing agents' ability to navigate and complete complex tasks across diverse web environments.

MiniMax M2.5 from MiniMax currently leads the MEWC leaderboard with a score of 0.744 across 1 evaluated AI models.

MiniMaxMiniMax M2.5 leads with 74.4%.

Progress Over Time

Interactive timeline showing model performance evolution on MEWC

State-of-the-art frontier
Open
Proprietary

MEWC Leaderboard

1 models
ContextCostLicense
1230B1.0M$0.30 / $1.20
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FAQ

Common questions about MEWC.

What is the MEWC benchmark?

MEWC is a benchmark that evaluates AI model performance on multi-environment web challenges, testing agents' ability to navigate and complete complex tasks across diverse web environments.

What is the MEWC leaderboard?

The MEWC leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, MiniMax M2.5 by MiniMax leads with a score of 0.744. The average score across all models is 0.744.

What is the highest MEWC score?

The highest MEWC score is 0.744, achieved by MiniMax M2.5 from MiniMax.

How many models are evaluated on MEWC?

1 models have been evaluated on the MEWC benchmark, with 0 verified results and 1 self-reported results.

What categories does MEWC cover?

MEWC is categorized under agents and reasoning. The benchmark evaluates text models.

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