llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

multimodal benchmark

BabyVision Leaderboard

A benchmark for early-stage visual reasoning and perception on child-like vision tasks.

Updated Aug 17, 2026

Models10
Model coverage10
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

BabyVision Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K3Moonshot AIScore85.7%Percentile100.0%Participants10EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore85.6%Percentile88.9%Participants10EvidenceCEvaluatedAug 17, 2026
Rank03ModelMEMuse Spark 1.1MetaScore76.3%Percentile77.8%Participants10EvidenceCEvaluatedAug 17, 2026
Rank04ModelBYSeed 2.1 ProByteDanceScore73.7%Percentile66.7%Participants10EvidenceCEvaluatedAug 17, 2026
Rank05ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore70.4%Percentile55.6%Participants10EvidenceCEvaluatedAug 17, 2026
Rank06ModelMAKimi K2.6Moonshot AIScore68.5%Percentile44.4%Participants10EvidenceCEvaluatedAug 17, 2026
Rank07ModelBYSeed 2.1 TurboByteDanceScore62.9%Percentile33.3%Participants10EvidenceCEvaluatedAug 17, 2026
Rank08ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore44.6%Percentile22.2%Participants10EvidenceCEvaluatedAug 17, 2026
Rank09ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore40.2%Percentile11.1%Participants10EvidenceCEvaluatedAug 17, 2026
Rank10ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore38.4%Percentile0.0%Participants10EvidenceCEvaluatedAug 17, 2026

BabyVision Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K385.7%Rank #2Qwen3.8-27B85.6%Rank #3Muse Spark 1.176.3%Rank #4Seed 2.1 Pro73.7%

BabyVision Score Distribution

A closer view of the leading scores on this benchmark.

BabyVision

The Top AI Models for BabyVision

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis babyvision AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Kimi K3Moonshot AI
    Score
    85.7%
    Price
    $3.0 input / $15 output per 1M tokens
    Speed
    Up to 26 tok/s via Fireworks

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BabyVision, not total model capability
  2. 02
    AC
    Qwen3.8-27BAlibaba Cloud / Qwen Team
    Score
    85.6%

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BabyVision, not total model capability
  3. 03
    ME
    Muse Spark 1.1Meta
    Score
    76.3%
    Price
    $1.3 input / $4.3 output per 1M tokens
    Speed
    Up to 6.2 tok/s via Meta Model API

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BabyVision, not total model capability
  4. 04
    BY
    Seed 2.1 ProByteDance
    Score
    73.7%

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BabyVision, not total model capability
  5. 05
    AC
    Qwen3.7-PlusAlibaba Cloud / Qwen Team
    Score
    70.4%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BabyVision, not total model capability

Selection summary

Best AI Models for BabyVision

Kimi K3 currently leads BabyVision with 85.7%. 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.

Benchmark rank #1Kimi K385.7% · $3.0 input / $15 output per 1M tokensBenchmark rank #2Qwen3.8-27B85.6%Benchmark rank #3Muse Spark 1.176.3% · $1.3 input / $4.3 output per 1M tokens

What is BabyVision?

What BabyVision measures and how its scores work.

A benchmark for early-stage visual reasoning and perception on child-like vision tasks.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
BabyVision
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
babyvision|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about BabyVision.

Which model scores highest on BabyVision?

Kimi K3 is currently ranked first with 85.7%.

What does BabyVision measure?

A benchmark for early-stage visual reasoning and perception on child-like vision tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

10 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.