LLaVA-Bench (In-the-Wild)
LLaVA 67.3 tops its leaderboard
Not in model cards Multimodal assistants answer open questions about a small set of diverse real images. A GPT-4 judge scores each answer relative to a reference answer.
Introduced with the LLaVA paper. Scores are a relative ratio, so the judge model version matters.
- Made by
- UW-Madison and Microsoft Research (LLaVA team)
- Released
- April 2023
- Kind
- General visual questions
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
3
Entries on its own leaderboard, 0 models we track
LLaVA tops the leaderboard with 67.3
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 1 LLaVA 67.3
- 2 BLIP-2 38.1
- 3 OpenFlamingo 19.1
Source: Official LLaVA-Bench (In-the-Wild) leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | LLaVA | 67.3 | Official leaderboard | ||
| 2 | BLIP-2 | 38.1 | Official leaderboard | ||
| 3 | OpenFlamingo | 19.1 | Official leaderboard |
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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