multimodal benchmark
BabyVision is a multimodal benchmark for early-stage visual reasoning and perception on child-like vision tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score85.70% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score85.60% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score76.30% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelBY | Score73.70% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score70.40% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelMA | Score68.50% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelBY | Score62.90% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelZA | Score53.40% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score44.60% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score40.20% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score38.40% | Percentile0.00% | Participants11 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What BabyVision measures and how its scores work.
BabyVision is a multimodal benchmark for child-like vision tasks.
It measures early-stage visual reasoning and perception using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about BabyVision.
Kimi K3 is currently ranked first with 85.70%.
The current leaders are Kimi K3 (85.70%), Qwen3.8-27B (85.60%), and Muse Spark 1.1 (76.30%).
GLM-5.3-Flash has the lowest matched official input price at $0.08 input / $0.25 output per 1M tokens.
The fastest matched records are GLM-5.3-Flash (74.28 tok/s via FriendliAI), Muse Spark 1.1 (14.00 tok/s via Meta Model API), and Kimi K2.6 (1.24 tok/s via Moonshot AI).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures early-stage visual reasoning and perception using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
11 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis babyvision AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Kimi K3 currently leads BabyVision with 85.70%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.