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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 Aug 17, 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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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore89.2%Percentile100.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore88.8%Percentile90.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank03ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore88.2%Percentile80.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank04ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore88.2%Percentile70.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank05ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore88.0%Percentile60.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank06ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore87.9%Percentile50.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank07ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore86.6%Percentile40.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank08ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore83.4%Percentile30.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank09ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore78.0%Percentile20.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank10ModelACQwen3.5-2BAlibaba Cloud / Qwen TeamScore60.6%Percentile10.0%Participants11EvidenceCEvaluatedAug 17, 2026
Rank11ModelACQwen3.5-0.8BAlibaba Cloud / Qwen TeamScore39.2%Percentile0.0%Participants11EvidenceCEvaluatedAug 17, 2026

MAXIFE Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7 Max89.2%Rank #2Qwen3.7-Plus88.8%Rank #3Qwen3.5-397B-A17B88.2%Rank #4Qwen3.6 Plus88.2%

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.

Ranking basisThis maxife 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
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    89.2%
    Price
    $2.5 input / $7.5 output per 1M tokens
    Speed
    Up to 5.8 tok/s via Together

    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
    88.8%
    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
    Qwen3.5-397B-A17BAlibaba Cloud / Qwen Team
    Score
    88.2%
    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
    Qwen3.6 PlusAlibaba Cloud / Qwen Team
    Score
    88.2%
    Price
    $0.50 input / $3.0 output per 1M tokens
    Speed
    Up to 16 tok/s via Together

    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
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    88.0%
    Price
    $0.30 input / $2.4 output per 1M tokens
    Speed
    Up to 6.7 tok/s via Novita

    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 89.2%. 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 #1Qwen3.7 Max89.2% · $2.5 input / $7.5 output per 1M tokensBenchmark rank #2Qwen3.7-Plus88.8% · $0.50 input / $3.0 output per 1M tokensBenchmark rank #3Qwen3.5-397B-A17B88.2% · $0.60 input / $3.6 output per 1M tokens

What is MAXIFE?

What MAXIFE measures and how its scores work.

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

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
Yes
Evaluation key
maxife|llm-stats-current

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 89.2%.

What does MAXIFE measure?

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

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?

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