VIBE Android

VIBE benchmark subset for Android application generation

MiniMax M2.1 from MiniMax currently leads the VIBE Android leaderboard with a score of 0.897 across 1 evaluated AI models.

About this benchmark

What VIBE Android measures

VIBE Android is a text benchmark that evaluates large language models on code tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.9, with the leader reaching 0.9.

Compare leaders on the best AI for code leaderboards.

MiniMaxMiniMax M2.1 leads with 89.7%.

Progress Over Time

Interactive timeline showing model performance evolution on VIBE Android

State-of-the-art frontier
Open
Proprietary

VIBE Android Leaderboard

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

Common questions about VIBE Android.

What is the VIBE Android benchmark?

VIBE benchmark subset for Android application generation

What is the VIBE Android leaderboard?

The VIBE Android leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, MiniMax M2.1 by MiniMax leads with a score of 0.897. The average score across all models is 0.897.

What is the highest VIBE Android score?

The highest VIBE Android score is 0.897, achieved by MiniMax M2.1 from MiniMax.

How many models are evaluated on VIBE Android?

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

What categories does VIBE Android cover?

VIBE Android is categorized under code. The benchmark evaluates text models.

What is the best open-source model on VIBE Android?

MiniMax M2.1 by MiniMax is the top-ranked open-source model on VIBE Android, with a score of 0.897 (rank #1).

Which model offers the best value on VIBE Android?

Among models scoring within 10% of the leader, MiniMax M2.1 from MiniMax is the cheapest, at $0.30 per million input tokens with a score of 0.897.

How recent are the VIBE Android leaderboard results?

The VIBE Android leaderboard was last updated in June 2026 and currently includes 1 evaluated models.

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