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Model results

BabyVision

Choose a shared evaluation protocol to compare model scores. Versions, sources and configurations stay separate.

Atlas snapshot captured 10/19/2026, 10:20:28 AM UTC. This is an import timestamp, not the evaluation date. Coverage may be incomplete.

Reviewed recommendation and limits

Start with the MLLM track for visual discrimination, tracking, spatial perception and pattern recognition. Read category results alongside overall accuracy.

Full 388-item MLLM suite across 22 subclasses. Keep Mini, generation and tools-enabled tracks separate. Preserve image settings, prompts, reasoning budget, judge and repeated-run mean and standard deviation.. Imported groups below may use different protocols; this review does not certify each run. Public tasks and model judging limit small-score comparisons. This does not measure object detection or design preference. Imported tools-enabled vendor results do not certify the direct MLLM setup.

BabyVision w/ tools

Source
DeepSeek model card (vendor-reported)
Version
unversioned
Measurement date
2026-09-10
Metric
% · Higher is better
Evaluation scope
Vendor-reported; reasoning effort 100; Pass@1; temperature 1.0, top_p 0.95; Claude Code; 512K context; tools enabled

Positions are withheld because at least one result lacks explicit independent provenance or a documented evaluation scope. Missing metadata is shown as unreported; matching imported metadata is not independent verification of the protocol.

  1. DeepSeek V4.1 Flash

    deepseek/deepseek-v4.1-flash-20260910

    89.6%

    View modelEvidence model-card-reported
BabyVision model results | VibeLeaderboard