multimodal benchmark
Vibe-Eval is a hard multimodal evaluation suite with 269 visual understanding prompts and expert-authored gold-standard responses.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score67.20% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score65.60% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score65.40% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score56.30% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score53.90% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score51.30% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score48.90% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score40.90% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Vibe-Eval measures and how its scores work.
Vibe-Eval is a benchmark for measuring the progress of multimodal language models, with objectives covering day-to-day multimodal chat tasks and rigorous testing of frontier models.
It measures performance on visual understanding prompts using a Score reported as a ratio; its hard set contains more than 50% questions that all frontier models answer incorrectly.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Vibe-Eval.
Gemini 2.5 Pro Preview 06-05 is currently ranked first with 67.20%.
The current leaders are Gemini 2.5 Pro Preview 06-05 (67.20%), Gemini 2.5 Pro (65.60%), and Gemini 2.5 Flash (65.40%).
Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are Gemini 2.0 Flash (183.00 tok/s via Google), Gemini 1.5 Flash (150.00 tok/s via Google), and Gemini 1.5 Flash 8B (150.00 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on visual understanding prompts using a Score reported as a ratio; its hard set contains more than 50% questions that all frontier models answer incorrectly.
Yes. Higher values rank better for this benchmark.
8 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis vibe-eval AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemini 2.5 Pro Preview 06-05 currently leads Vibe-Eval with 67.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.