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instruction following benchmark

IFBench Leaderboard

IFBench is an Instruction Following Benchmark evaluating a model's ability to follow complex instructions.

Updated Sep 5, 2026

Models39
Model coverage39
MetricScore
EvidenceB

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IFBench Ranking

Higher score ranks better on this benchmark.

30 of 39 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore82.80%Percentile100.00%Participants39EvidenceCEvaluatedSep 8, 2026
Rank02ModelTMInkling-SmallThinking Machines LabScore82.20%Percentile97.37%Participants39EvidenceCEvaluatedSep 8, 2026
Rank03ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore81.70%Percentile94.74%Participants39EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore81.30%Percentile92.11%Participants39EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore81.30%Percentile89.47%Participants39EvidenceCEvaluatedSep 8, 2026
Rank06ModelNRHermes 3 70BNous ResearchScore81.21%Percentile86.84%Participants39EvidenceCEvaluatedSep 8, 2026
Rank07ModelAMNova 2 ProAmazonScore80.20%Percentile84.21%Participants39EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore79.50%Percentile81.58%Participants39EvidenceCEvaluatedSep 8, 2026
Rank09ModelIBIBM Granite 4.2 8BIBMScore79.33%Percentile78.95%Participants39EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore79.10%Percentile76.32%Participants39EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore79.10%Percentile73.68%Participants39EvidenceCEvaluatedSep 8, 2026
Rank12ModelIBIBM Granite 4.2 30BIBMScore77.17%Percentile71.05%Participants39EvidenceCEvaluatedSep 8, 2026
Rank13ModelMEMuse Glimmer-30BMetaScore77.00%Percentile68.42%Participants39EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore76.50%Percentile65.79%Participants39EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore76.50%Percentile63.16%Participants39EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore76.10%Percentile60.53%Participants39EvidenceCEvaluatedSep 8, 2026
Rank17ModelMIMAI-Code-1-FlashMicrosoftScore75.00%Percentile57.89%Participants39EvidenceCEvaluatedSep 8, 2026
Rank18ModelIBIBM Granite 4.2 3BIBMScore74.33%Percentile55.26%Participants39EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore74.20%Percentile52.63%Participants39EvidenceCEvaluatedSep 8, 2026
Rank20ModelCOCommand A+CohereScore74.00%Percentile50.00%Participants39EvidenceCEvaluatedSep 8, 2026
Rank21ModelNVNemotron 3 Super (120B A12B)NVIDIAScore72.56%Percentile47.37%Participants39EvidenceCEvaluatedSep 8, 2026
Rank22ModelNVNemotron 3.5 Lightning (30B A3B)NVIDIAScore71.88%Percentile44.74%Participants39EvidenceCEvaluatedSep 8, 2026
Rank23ModelINMercury 2InceptionScore71.00%Percentile42.11%Participants39EvidenceCEvaluatedSep 8, 2026
Rank24ModelAMNova 2 LiteAmazonScore70.80%Percentile39.47%Participants39EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore70.20%Percentile36.84%Participants39EvidenceCEvaluatedSep 8, 2026
Rank26ModelMIMiniMax M2.1MiniMaxScore70.00%Percentile34.21%Participants39EvidenceCEvaluatedSep 8, 2026
Rank27ModelOPGPT OSS 120B HighOpenAIScore69.50%Percentile31.58%Participants39EvidenceCEvaluatedSep 8, 2026
Rank28ModelMIMAI-Thinking-1MicrosoftScore69.00%Percentile28.95%Participants39EvidenceCEvaluatedSep 8, 2026
Rank29ModelMAMistral Medium 3.5Mistral AIScore69.00%Percentile26.32%Participants39EvidenceCEvaluatedSep 8, 2026
Rank30ModelAMNova 2 OmniAmazonScore68.70%Percentile23.68%Participants39EvidenceCEvaluatedSep 8, 2026

IFBench Highlights

The leading models and scores on this benchmark.

IFBench Score Distribution

A closer view of the leading scores on this benchmark.

IFBench

The Top AI Models for IFBench

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

What is IFBench?

What IFBench measures and how its scores work.

IFBench is an Instruction Following Benchmark.

It measures a model's ability to follow complex instructions using the Score metric, reported as a ratio.

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

Family
IFBench
Modality
text
Primary category
instruction following
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 IFBench.

Which model scores highest on IFBench?

Qwen3.8 Max is currently ranked first with 82.80%.

What are the top three models on IFBench?

The current leaders are Qwen3.8 Max (82.80%), Inkling-Small (82.20%), and Nemotron 3 Ultra (550B A55B) (81.70%).

Which IFBench model has the lowest official input price?

Qwen3.8 Flash has the lowest matched official input price at $0.15 input / $0.47 output per 1M tokens.

Which models are fastest among IFBench results?

The fastest matched records are Mercury 2 (346.33 tok/s via Inception), Mistral Small 4 (163.71 tok/s via Mistral AI), and MiniMax M2.1 (100.00 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 IFBench measure?

It measures a model's ability to follow complex instructions using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

39 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 #1Qwen3.8 Max82.80%
Rank #2Inkling-Small82.20%
Rank #3Nemotron 3 Ultra (550B A55B)81.70%
Rank #4Qwen3.8-Flash-Next81.30%

Ranking basisThis ifbench 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
    Qwen3.8 MaxAlibaba Cloud / Qwen Team
    Score
    82.80%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 60.87 tok/s via DeepInfra

    Strengths

    • Ranks #1 of 39 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability
  2. 02
    TM
    Inkling-SmallThinking Machines Lab
    Score
    82.20%

    Strengths

    • Ranks #2 of 39 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability
  3. 03
    NV
    NVIDIA
    Score
    81.70%
    Price
    $0.50 input / $2.5 output per 1M tokens

    Strengths

    • Ranks #3 of 39 compared models
    • 95th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    81.30%

    Strengths

    • Ranks #4 of 39 compared models
    • 92th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    81.30%
    Price
    $0.15 input / $0.47 output per 1M tokens

    Strengths

    • Ranks #5 of 39 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability

Selection summary

Best AI Models for IFBench

Qwen3.8 Max currently leads IFBench with 82.80%. 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.

Nemotron 3 Ultra (550B A55B)
Qwen3.8-Flash-Next
Qwen3.8 Flash
Benchmark rank #1Qwen3.8 Max82.80% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2Inkling-Small82.20%
Benchmark rank #3Nemotron 3 Ultra (550B A55B)81.70% · $0.50 input / $2.5 output per 1M tokens