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science benchmark

LatchBio SpatialBench Verified Leaderboard

LatchBio SpatialBench Verified tests analysis of spatial transcriptomics data across externally validated problems.

Updated Sep 24, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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LatchBio SpatialBench Verified Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 5.5AnthropicScore72.00%Percentile100.00%Participants1EvidenceCEvaluatedSep 24, 2026

LatchBio SpatialBench Verified Highlights

The leading models and scores on this benchmark.

Rank #1Claude Opus 5.572.00%

The Top AI Models for LatchBio SpatialBench Verified

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

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

  1. 01
    AN
    Anthropic
    Score
    72.00%
    Price
    $4.0 input / $20 output per 1M tokens
    Speed
    Up to 64.14 tok/s via Anthropic

    Strengths

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

    Considerations

    • This result measures LatchBio SpatialBench Verified, not total model capability

Selection summary

Best AI Models for LatchBio SpatialBench Verified

Claude Opus 5.5 currently leads LatchBio SpatialBench Verified with 72.00%. 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.

What is LatchBio SpatialBench Verified?

What LatchBio SpatialBench Verified measures and how its scores work.

LatchBio SpatialBench Verified is a science benchmark requiring models to answer biological questions about a sample from analysis results.

It measures performance on analyzing spatial transcriptomics data and answering biological questions about the sample from analysis results, reported as a Score ratio.

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

Family
LatchBio SpatialBench Verified
Modality
text
Primary category
science
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about LatchBio SpatialBench Verified.

Which model scores highest on LatchBio SpatialBench Verified?

Claude Opus 5.5 is currently ranked first with 72.00%.

What are the top three models on LatchBio SpatialBench Verified?

The current leaders are Claude Opus 5.5 (72.00%).

Which LatchBio SpatialBench Verified model has the lowest official input price?

Claude Opus 5.5 has the lowest matched official input price at $4.0 input / $20 output per 1M tokens.

Which models are fastest among LatchBio SpatialBench Verified results?

The fastest matched records are Claude Opus 5.5 (64.14 tok/s via Anthropic).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does LatchBio SpatialBench Verified measure?

It measures performance on analyzing spatial transcriptomics data and answering biological questions about the sample from analysis results, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Claude Opus 5.5
Benchmark rank #1Claude Opus 5.572.00% · $4.0 input / $20 output per 1M tokens