xChatBench
Aya Vision 32B 70.1 Only in system cards 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.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
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.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Aya Vision 32B | 70.1 | May 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 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 |
|---|---|---|---|---|
| 13 May 2025 | Aya Vision 32B technical report | 70.1 | xChat, LLM score, Aya Vision languages (Table 4) | Capabilities |
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