Vibe-Eval

VIBE-Eval is a hard evaluation suite for measuring progress of multimodal language models, consisting of 269 visual understanding prompts with gold-standard responses authored by experts. The benchmark has dual objectives: vibe checking multimodal chat models for day-to-day tasks and rigorously testing frontier models, with the hard set containing >50% questions that all frontier models answer incorrectly.

Gemini 2.5 Pro Preview 06-05 from Google currently leads the Vibe-Eval leaderboard with a score of 0.672 across 8 evaluated AI models.

Paper

GoogleGemini 2.5 Pro Preview 06-05 leads with 67.2%, followed by GoogleGemini 2.5 Pro at 65.6% and GoogleGemini 2.5 Flash at 65.4%.

Progress Over Time

Interactive timeline showing model performance evolution on Vibe-Eval

State-of-the-art frontier
Open
Proprietary

Vibe-Eval Leaderboard

8 models
ContextCostLicense
11.0M$1.25 / $10.00
21.0M$1.25 / $10.00
31.0M$0.30 / $2.50
41.0M$0.10 / $0.40
52.1M$2.50 / $10.00
61.0M$0.10 / $0.40
71.0M$0.15 / $0.60
88B1.0M$0.07 / $0.30
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FAQ

Common questions about Vibe-Eval.

What is the Vibe-Eval benchmark?

VIBE-Eval is a hard evaluation suite for measuring progress of multimodal language models, consisting of 269 visual understanding prompts with gold-standard responses authored by experts. The benchmark has dual objectives: vibe checking multimodal chat models for day-to-day tasks and rigorously testing frontier models, with the hard set containing >50% questions that all frontier models answer incorrectly.

What is the Vibe-Eval leaderboard?

The Vibe-Eval leaderboard ranks 8 AI models based on their performance on this benchmark. Currently, Gemini 2.5 Pro Preview 06-05 by Google leads with a score of 0.672. The average score across all models is 0.562.

What is the highest Vibe-Eval score?

The highest Vibe-Eval score is 0.672, achieved by Gemini 2.5 Pro Preview 06-05 from Google.

How many models are evaluated on Vibe-Eval?

8 models have been evaluated on the Vibe-Eval benchmark, with 0 verified results and 8 self-reported results.

Where can I find the Vibe-Eval paper?

The Vibe-Eval paper is available at https://arxiv.org/abs/2405.02287. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does Vibe-Eval cover?

Vibe-Eval is categorized under general, multimodal, and vision. The benchmark evaluates multimodal models.

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