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general benchmark

MAXIFE Leaderboard

MAXIFE is a multilingual benchmark evaluating LLMs on instruction following and execution across multiple languages and cultural contexts.

Updated Sep 5, 2026

Models11
Model coverage11
MetricScore
EvidenceB

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MAXIFE Ranking

Higher score ranks better on this benchmark.

11 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore89.20%Percentile100.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore88.80%Percentile90.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore88.20%Percentile80.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore88.20%Percentile70.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore88.00%Percentile60.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore87.90%Percentile50.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore86.60%Percentile40.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore83.40%Percentile30.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore78.00%Percentile20.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.5-2BAlibaba Cloud / Qwen TeamScore60.60%Percentile10.00%Participants11EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.5-0.8BAlibaba Cloud / Qwen TeamScore39.20%Percentile0.00%Participants11EvidenceCEvaluatedSep 8, 2026

MAXIFE Highlights

The leading models and scores on this benchmark.

MAXIFE Score Distribution

A closer view of the leading scores on this benchmark.

MAXIFE

The Top AI Models for MAXIFE

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

What is MAXIFE?

What MAXIFE measures and how its scores work.

MAXIFE is a multilingual benchmark for evaluating LLMs across multiple languages and cultural contexts.

MAXIFE measures instruction following and execution.

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

Family
MAXIFE
Modality
text
Primary category
general
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 MAXIFE.

Which model scores highest on MAXIFE?

Qwen3.7 Max is currently ranked first with 89.20%.

What are the top three models on MAXIFE?

The current leaders are Qwen3.7 Max (89.20%), Qwen3.7-Plus (88.80%), and Qwen3.5-397B-A17B (88.20%).

Which MAXIFE model has the lowest official input price?

Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.

Which models are fastest among MAXIFE results?

No matched runtime record is currently available.

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 MAXIFE measure?

MAXIFE measures instruction following and execution.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

11 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 #1Qwen3.7 Max89.20%
Rank #2Qwen3.7-Plus88.80%
Rank #3Qwen3.5-397B-A17B88.20%
Rank #4Qwen3.6 Plus88.20%

Ranking basisThis maxife 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
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    89.20%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #1 of 11 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MAXIFE, not total model capability
  2. 02
    AC
    Qwen3.7-PlusAlibaba Cloud / Qwen Team
    Score
    88.80%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #2 of 11 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MAXIFE, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    88.20%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #3 of 11 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MAXIFE, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    88.20%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #4 of 11 compared models
    • 70th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MAXIFE, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    88.00%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #5 of 11 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MAXIFE, not total model capability

Selection summary

Best AI Models for MAXIFE

Qwen3.7 Max currently leads MAXIFE with 89.20%. 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.

Qwen3.5-397B-A17B
Qwen3.6 Plus
Qwen3.5-27B
Benchmark rank #1Qwen3.7 Max89.20% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #2Qwen3.7-Plus88.80% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #3Qwen3.5-397B-A17B88.20% · $0.60 input / $3.6 output per 1M tokens