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language benchmark

BBH Leaderboard

BBH is a suite of 23 challenging tasks selected from BIG-Bench to evaluate multi-step reasoning across diverse domains.

Updated Sep 5, 2026

Models12
Model coverage12
MetricScore
EvidenceB

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BBH Ranking

Higher score ranks better on this benchmark.

12 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 235B A22BAlibaba Cloud / Qwen TeamScore88.87%Percentile100.00%Participants12EvidenceCEvaluatedSep 8, 2026
Rank02ModelXIMiMo-V2.5-ProXiaomiScore88.40%Percentile90.91%Participants12EvidenceCEvaluatedSep 8, 2026
Rank03ModelAMNova ProAmazonScore86.90%Percentile81.82%Participants12EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen2.5 32B InstructAlibaba Cloud / Qwen TeamScore84.50%Percentile72.73%Participants12EvidenceCEvaluatedSep 8, 2026
Rank05ModelDEDeepSeek-V2.5DeepSeekScore84.30%Percentile63.64%Participants12EvidenceCEvaluatedSep 8, 2026
Rank06ModelAMNova LiteAmazonScore82.40%Percentile54.55%Participants12EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen2 72B InstructAlibaba Cloud / Qwen TeamScore82.40%Percentile45.45%Participants12EvidenceCEvaluatedSep 8, 2026
Rank08ModelOPMiniCPM-SALAOpenBMBScore81.55%Percentile36.36%Participants12EvidenceCEvaluatedSep 8, 2026
Rank09ModelAMNova MicroAmazonScore79.50%Percentile27.27%Participants12EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen2.5 14B InstructAlibaba Cloud / Qwen TeamScore78.20%Percentile18.18%Participants12EvidenceCEvaluatedSep 8, 2026
Rank11ModelNRHermes 3 70BNous ResearchScore67.82%Percentile9.09%Participants12EvidenceCEvaluatedSep 8, 2026
Rank12ModelBAERNIE 4.5BaiduScore30.40%Percentile0.00%Participants12EvidenceCEvaluatedSep 8, 2026

BBH Highlights

The leading models and scores on this benchmark.

BBH Score Distribution

A closer view of the leading scores on this benchmark.

BBH

The Top AI Models for BBH

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

What is BBH?

What BBH measures and how its scores work.

Big-Bench Hard (BBH) is a suite of 23 tasks selected from BIG-Bench for which prior language model evaluations did not outperform the average human-rater.

BBH measures multi-step reasoning across arithmetic, logical reasoning, reading comprehension, and commonsense reasoning, including temporal understanding, spatial reasoning, causal understanding, and deductive logical reasoning; its metric is Score, reported as a ratio.

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

Family
BBH
Modality
text
Primary category
language
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 BBH.

Which model scores highest on BBH?

Qwen3 235B A22B is currently ranked first with 88.87%.

What are the top three models on BBH?

The current leaders are Qwen3 235B A22B (88.87%), MiMo-V2.5-Pro (88.40%), and Nova Pro (86.90%).

Which BBH model has the lowest official input price?

Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.

Which models are fastest among BBH results?

The fastest matched records are DeepSeek-V2.5 (100.00 tok/s via DeepSeek), Qwen3 235B A22B (21.74 tok/s via DeepInfra), and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).

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 BBH measure?

BBH measures multi-step reasoning across arithmetic, logical reasoning, reading comprehension, and commonsense reasoning, including temporal understanding, spatial reasoning, causal understanding, and deductive logical reasoning; its metric is Score, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

12 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 235B A22B88.87%
Rank #2MiMo-V2.5-Pro88.40%
Rank #3Nova Pro86.90%
Rank #4Qwen2.5 32B Instruct84.50%

Ranking basisThis bbh 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 235B A22BAlibaba Cloud / Qwen Team
    Score
    88.87%
    Price
    $0.70 input / $2.8 output per 1M tokens
    Speed
    Up to 21.74 tok/s via DeepInfra

    Strengths

    • Ranks #1 of 12 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BBH, not total model capability
  2. 02
    XI
    MiMo-V2.5-ProXiaomi
    Score
    88.40%
    Price
    $0.44 input / $0.87 output per 1M tokens
    Speed
    Up to 5.27 tok/s via DeepInfra

    Strengths

    • Ranks #2 of 12 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BBH, not total model capability
  3. 03
    AM
    Amazon
    Score
    86.90%
    Price
    $0.80 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #3 of 12 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BBH, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    84.50%
    Price
    $0.70 input / $2.8 output per 1M tokens

    Strengths

    • Ranks #4 of 12 compared models
    • 73th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BBH, not total model capability
  5. 05
    DE
    DeepSeek
    Score
    84.30%
    Speed
    Up to 100.00 tok/s via DeepSeek

    Strengths

    • Ranks #5 of 12 compared models
    • 64th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures BBH, not total model capability

Selection summary

Best AI Models for BBH

Qwen3 235B A22B currently leads BBH with 88.87%. 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.

Nova Pro
Qwen2.5 32B Instruct
DeepSeek-V2.5
Benchmark rank #1Qwen3 235B A22B88.87% · $0.70 input / $2.8 output per 1M tokens
Benchmark rank #2MiMo-V2.5-Pro88.40% · $0.44 input / $0.87 output per 1M tokens
Benchmark rank #3Nova Pro86.90% · $0.80 input / $3.2 output per 1M tokens