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productivity benchmark

SpreadSheetBench-v1 Leaderboard

SpreadSheetBench-v1 evaluates office automation agents on spreadsheet reasoning and manipulation tasks.

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

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

SpreadSheetBench-v1 Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIMiniMax M3MiniMaxScore89.35%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore87.00%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore86.30%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

SpreadSheetBench-v1 Highlights

The leading models and scores on this benchmark.

SpreadSheetBench-v1 Score Distribution

A closer view of the leading scores on this benchmark.

SpreadSheetBench-v1

The Top AI Models for SpreadSheetBench-v1

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

What is SpreadSheetBench-v1?

What SpreadSheetBench-v1 measures and how its scores work.

SpreadSheetBench-v1 is a productivity benchmark for evaluating office automation agents on spreadsheet tasks.

It measures the ability to analyze, transform, and operate on spreadsheet data through tools, reported as a Score ratio.

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

Family
SpreadSheetBench-v1
Modality
text
Primary category
productivity
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 SpreadSheetBench-v1.

Which model scores highest on SpreadSheetBench-v1?

MiniMax M3 is currently ranked first with 89.35%.

What are the top three models on SpreadSheetBench-v1?

The current leaders are MiniMax M3 (89.35%), Qwen3.7 Max (87.00%), and Qwen3.7-Plus (86.30%).

Which SpreadSheetBench-v1 model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among SpreadSheetBench-v1 results?

The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax).

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 SpreadSheetBench-v1 measure?

It measures the ability to analyze, transform, and operate on spreadsheet data through tools, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 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.

Rank #1MiniMax M389.35%
Rank #2Qwen3.7 Max87.00%
Rank #3Qwen3.7-Plus86.30%

Ranking basisThis spreadsheetbench-v1 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
    MI
    MiniMax M3MiniMax
    Score
    89.35%
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 6.61 tok/s via MiniMax

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SpreadSheetBench-v1, not total model capability
  2. 02
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    87.00%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SpreadSheetBench-v1, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.30%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SpreadSheetBench-v1, not total model capability

Selection summary

Best AI Models for SpreadSheetBench-v1

MiniMax M3 currently leads SpreadSheetBench-v1 with 89.35%. 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.

Qwen3.7-Plus
Benchmark rank #1MiniMax M389.35% · $0.30 input / $1.2 output per 1M tokens
Benchmark rank #2Qwen3.7 Max87.00% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #3Qwen3.7-Plus86.30% · $0.50 input / $3.0 output per 1M tokens