llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksmultimodalZEROBench

multimodal benchmark

ZEROBench

ZEROBench is a challenging vision benchmark designed to test models on zero-shot visual understanding tasks.

Updated Aug 11, 2026

Models9
Model coverage9
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ZEROBench Ranking

Higher score ranks better on this benchmark.

9 rows
Columns

Show columns

1MAKimi K3Moonshot AI0.41 points100.0%9CAug 11, 2026
2MEMuse SparkMeta0.33 points87.5%9CAug 11, 2026
3BYSeed 2.1 ProByteDance0.18 points75.0%9CAug 11, 2026
4MAKimi K2.5Moonshot AI0.11 points62.5%9CAug 11, 2026
5BYSeed 2.1 TurboByteDance0.11 points50.0%9CAug 11, 2026
6ACQwen3.5-27BAlibaba Cloud / Qwen Team0.1 points37.5%9CAug 11, 2026
7ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team0.09 points25.0%9CAug 11, 2026
8ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team0.08 points12.5%9CAug 11, 2026
9ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team0.04 points0.0%9CAug 11, 2026

ZEROBench Score Distribution

A closer view of the leading scores on this benchmark.

ZEROBench

ZEROBench Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K30.41 pointsRank #2Muse Spark0.33 pointsRank #3Seed 2.1 Pro0.18 pointsRank #4Kimi K2.50.11 points

What is ZEROBench?

What ZEROBench measures and how its scores work.

ZEROBench is a challenging vision benchmark designed to test models on zero-shot visual understanding tasks.

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

Family
ZEROBench
Modality
image
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
zerobench|llm-stats-current

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

FAQ

Common questions about ZEROBench.

Which model scores highest on ZEROBench?

Kimi K3 is currently ranked first with 0.41 points.

What does ZEROBench measure?

ZEROBench is a challenging vision benchmark designed to test models on zero-shot visual understanding tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

9 model results are currently shown.

Does this benchmark affect the overall score?

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

Rankings

OverallCodingText ArenaPricing

Modalities

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

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai