BabyVisionBrowse 284 families
BabyVision
Can the model extract and reason over information in images or documents?
Version / measure
- Domain
- Vision
- Ranked models
- 6
- Reported values
- 6
- Reports
- 2 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | DeepSeek V4.1 FlashDeepSeekOW | reportedcost n/a1 value · Sep 10 · source | 89.6% |
| 2 | GPT-5.5OpenAI | xhighcost n/a1 value · Jul 9 · source | 83.6% |
| 3 | Claude Opus 4.8Anthropic | maxcost n/a1 value · Jul 9 · source | 81.2% |
| 4 | Muse Spark 1.1Meta | xhighcost n/a1 value · Jul 9 · source | 76.3% |
| 5 | Gemini 3.1 ProGoogle | highcost n/a1 value · Jul 9 · source | 51.5% |
| 6 | Muse Spark 1.0Meta | reportedcost n/a1 value · Jul 9 · source | 39.9% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic methodology
Can the model extract and reason over information in images or documents?
Visual perception and multimodal reasoning under the reported protocol. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
DeepSeek's official V4.1-Flash release table; exact source label BabyVision (w/tools) retained. 388 questions; gpt-oss-120B high-reasoning judge; with code execution.
Method / source ↗