xChatBench
Vision language models answer 400 open-ended multimodal chat prompts in 7 languages. An LLM judge scores each answer against fine-grained human-written criteria.
Released as part of PangeaBench with the Pangea model.
- Released
- October 2024
- Kind
- General visual questions
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
- Last in a system card
- May 2025
- Last model added
- May 2025
Aya Vision 32B leads with 70.1
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 70.1 | May 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| May 13, 2025 | | 70.1 | xChat, LLM score, Aya Vision languages (Table 4) | Capabilities |
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