llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

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

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

general benchmark

MultiLF Leaderboard

MultiLF benchmark

Updated Aug 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

On this page

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

MultiLF Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 32BAlibaba Cloud / Qwen TeamScore73.0%Percentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3 235B A22BAlibaba Cloud / Qwen TeamScore71.9%Percentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

MultiLF Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3 32B73.0%Rank #2Qwen3 235B A22B71.9%

MultiLF Score Distribution

A closer view of the leading scores on this benchmark.

MultiLF

The Top AI Models for MultiLF

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

Ranking basisThis multilf 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 32BAlibaba Cloud / Qwen Team
    Score
    73.0%
    Price
    $0.70 input / $2.8 output per 1M tokens
    Speed
    Up to 328 tok/s via Sambanova

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MultiLF, not total model capability
  2. 02
    AC
    Qwen3 235B A22BAlibaba Cloud / Qwen Team
    Score
    71.9%
    Price
    $0.70 input / $2.8 output per 1M tokens
    Speed
    Up to 68 tok/s via Fireworks

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MultiLF, not total model capability

Selection summary

Best AI Models for MultiLF

Qwen3 32B currently leads MultiLF with 73.0%. 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 32B73.0% · $0.70 input / $2.8 output per 1M tokensBenchmark rank #2Qwen3 235B A22B71.9% · $0.70 input / $2.8 output per 1M tokens

What is MultiLF?

What MultiLF measures and how its scores work.

MultiLF benchmark

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

Family
MultiLF
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
No
Evaluation key
multilf|llm-stats-current

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

FAQ

Common questions about MultiLF.

Which model scores highest on MultiLF?

Qwen3 32B is currently ranked first with 73.0%.

What does MultiLF measure?

MultiLF benchmark

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 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.