Aya Vision 32B
Aya Vision 32B.
14
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Aya Vision 32B
Open weights Mid-size
No Epoch Capabilities Index score yet
- MTVQA-Test 23.5% #6 /6
- Kaleidoscope 39.3% #4 /7
- IFEval 78.5% #109 /135
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Kaleidoscope | 39.3% | #4 of 7 | Official leaderboard | |
| MGSM | 79.5% | #37 of 57 | Lab model card | |
| Flores | 37.8 | #6 of 8 | Lab model card | |
| IFEval | 78.5% | #109 of 135 | Lab model card | |
| Global MMLU Lite | 63.6% | #14 of 16 | Lab model card | |
| CVQA | 74.1% | #1 of 1 | Lab model card |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMMU | 45.1% | #104 of 136 | Official leaderboard | |
| Vision Arena | 1,001 | #128 of 136 | Official leaderboard | |
| MTVQA-Test | 23.5% | #6 of 6 | Lab model card | |
| AyaVisionBench | 64% | #1 of 1 | Lab model card | |
| m-WildVision | 72% | #1 of 1 | Lab model card | |
| MaXM | 62.3% | #1 of 1 | Lab model card | |
| xChatBench | 70.1 | #1 of 1 | Lab model card | |
| xMMMU | 45.1% | #1 of 1 | Lab model card |
Its lab's number next to a leaderboard
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| Kaleidoscope | 41.7% Kaleidoscope, Aya Vision languages (Table 4) | 39.3% Leaderboard | +2.5 pts |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 11 of them aren't in the launch post.
Capabilities
- MaXM 62.3
- xMMMU 45.1
- CVQA 74.1
- MTVQA-Test 23.5
- Kaleidoscope 41.7
- xChatBench 70.1
- AyaVisionBench
- m-WildVision
- m-ArenaHard
- Global MMLU Lite 63.6
- MGSM 79.5
- Flores 37.8
- IFEval 78.5