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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 Oct 23, 2026

Models46
Model coverage46
MetricScore
EvidenceB

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IFBench Ranking

Higher score ranks better on this benchmark.

30 of 46 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore82.80%Percentile100.00%Participants46EvidenceCEvaluatedOct 22, 2026
Rank02ModelTMInkling-SmallThinking Machines LabScore82.20%Percentile97.78%Participants46EvidenceCEvaluatedOct 22, 2026
Rank03ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore81.70%Percentile95.56%Participants46EvidenceCEvaluatedOct 22, 2026
Rank04ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore81.30%Percentile93.33%Participants46EvidenceCEvaluatedOct 22, 2026
Rank05ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore81.30%Percentile91.11%Participants46EvidenceCEvaluatedOct 22, 2026
Rank06ModelNRHermes 3 70BNous ResearchScore81.21%Percentile88.89%Participants46EvidenceCEvaluatedOct 22, 2026
Rank07ModelAMNova 2 ProAmazonScore80.20%Percentile86.67%Participants46EvidenceCEvaluatedOct 22, 2026
Rank08ModelTMInklingThinking Machines LabScore79.80%Percentile84.44%Participants46EvidenceCEvaluatedOct 22, 2026
Rank09ModelRABeam 1.0Reflection AIScore79.60%Percentile82.22%Participants46EvidenceCEvaluatedOct 22, 2026
Rank10ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore79.50%Percentile80.00%Participants46EvidenceCEvaluatedOct 22, 2026
Rank11ModelIBIBM Granite 4.2 8BIBMScore79.33%Percentile77.78%Participants46EvidenceCEvaluatedOct 22, 2026
Rank12ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore79.10%Percentile75.56%Participants46EvidenceCEvaluatedOct 22, 2026
Rank13ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore79.10%Percentile73.33%Participants46EvidenceCEvaluatedOct 22, 2026
Rank14ModelNVNemotron Labs Dory 1.0 (4B)NVIDIAScore77.94%Percentile71.11%Participants46EvidenceCEvaluatedOct 22, 2026
Rank15ModelIBIBM Granite 4.2 30BIBMScore77.17%Percentile68.89%Participants46EvidenceCEvaluatedOct 22, 2026
Rank16ModelMEMuse Glimmer-30BMetaScore77.00%Percentile66.67%Participants46EvidenceCEvaluatedOct 22, 2026
Rank17ModelINMercury 3InceptionScore76.84%Percentile64.44%Participants46EvidenceCEvaluatedOct 22, 2026
Rank18ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore76.50%Percentile62.22%Participants46EvidenceCEvaluatedOct 22, 2026
Rank19ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore76.50%Percentile60.00%Participants46EvidenceCEvaluatedOct 22, 2026
Rank20ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore76.10%Percentile57.78%Participants46EvidenceCEvaluatedOct 22, 2026
Rank21ModelMIMAI-Code-1-FlashMicrosoftScore75.00%Percentile55.56%Participants46EvidenceCEvaluatedOct 22, 2026
Rank22ModelINLing 3.0 FlashInclusionaiScore74.50%Percentile53.33%Participants46EvidenceCEvaluatedOct 22, 2026
Rank23ModelIBIBM Granite 4.2 3BIBMScore74.33%Percentile51.11%Participants46EvidenceCEvaluatedOct 22, 2026
Rank24ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore74.20%Percentile48.89%Participants46EvidenceCEvaluatedOct 22, 2026
Rank25ModelCOCommand A+CohereScore74.00%Percentile46.67%Participants46EvidenceCEvaluatedOct 22, 2026
Rank26ModelNVNemotron 3 Super (120B A12B)NVIDIAScore72.56%Percentile44.44%Participants46EvidenceCEvaluatedOct 22, 2026
Rank27ModelNVNemotron 3.5 Lightning (30B A3B)NVIDIAScore71.88%Percentile42.22%Participants46EvidenceCEvaluatedOct 22, 2026
Rank28ModelINMercury 2InceptionScore71.00%Percentile40.00%Participants46EvidenceCEvaluatedOct 22, 2026
Rank29ModelACQwen3 Max ThinkingAlibaba Cloud / Qwen TeamScore70.90%Percentile37.78%Participants46EvidenceCEvaluatedOct 22, 2026
Rank30ModelNVNemotron 3.5 Super VL (120B A12B)NVIDIAScore70.86%Percentile35.56%Participants46EvidenceCEvaluatedOct 22, 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?

Mercury 3 has the lowest matched official input price at $0.10 input / $0.35 output per 1M tokens.

Which models are fastest among IFBench results?

The fastest matched records are Mercury 3 (1,068.00 tok/s via Inception), Mercury 2 (1,009.00 tok/s via Inception), 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?

46 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

    Strengths

    • Ranks #1 of 46 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 46 compared models
    • 98th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures IFBench, not total model capability
  3. 03
    NV
    NVIDIA
    Score
    81.70%

    Strengths

    • Ranks #3 of 46 compared models
    • 96th 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 46 compared models
    • 93th 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 46 compared models
    • 91th 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%