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VIBE Android

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
1
MiniMax
MiniMax M2.1
MiniMax
230B1.0M$0.30 / $1.20
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About this benchmark

What is VIBE Android?

VIBE benchmark subset for Android application generation

VIBE Android is a text benchmark evaluating models on code tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.9, with the leader at 0.9.

Compare leaders on the best AI for code leaderboards.

Current leaders

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

1MiniMax M2.1MiniMax89.7%

FAQ

Common questions about the VIBE Android benchmark and leaderboard.

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 August 2026 and currently includes 1 evaluated models.