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math benchmark

AlignBench Leaderboard

AlignBench is a comprehensive multi-dimensional benchmark for evaluating Chinese alignment of Large Language Models. It contains 8 main categories: Fundamental Language Ability, Advanced Chinese Understanding, Open-ended Questions, Writing Ability, Logical Reasoning, Mathematics, Task-oriented Role Play, and Professional Knowledge. The benchmark includes 683 real-scenario rooted queries with human-verified references and uses a rule-calibrated multi-dimensional LLM-as-Judge approach with Chain-of-Thought for evaluation.

Updated Aug 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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AlignBench Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen2.5 72B InstructAlibaba Cloud / Qwen TeamScore81.6%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelDEDeepSeek-V2.5DeepSeekScore80.4%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelACQwen2.5 7B InstructAlibaba Cloud / Qwen TeamScore73.3%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelACQwen2 7B InstructAlibaba Cloud / Qwen TeamScore72.1%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

AlignBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5 72B Instruct81.6%Rank #2DeepSeek-V2.580.4%Rank #3Qwen2.5 7B Instruct73.3%Rank #4Qwen2 7B Instruct72.1%

AlignBench Score Distribution

A closer view of the leading scores on this benchmark.

AlignBench

The Top AI Models for AlignBench

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

Ranking basisThis alignbench 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
    Qwen2.5 72B InstructAlibaba Cloud / Qwen Team
    Score
    81.6%
    Price
    $1.4 input / $5.6 output per 1M tokens
    Speed
    Up to 100 tok/s via Hyperbolic

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AlignBench, not total model capability
  2. 02
    DE
    DeepSeek-V2.5DeepSeek
    Score
    80.4%
    Speed
    Up to 100 tok/s via DeepSeek

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AlignBench, not total model capability
  3. 03
    AC
    Qwen2.5 7B InstructAlibaba Cloud / Qwen Team
    Score
    73.3%
    Price
    $0.17 input / $0.70 output per 1M tokens
    Speed
    Up to 138 tok/s via Together

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AlignBench, not total model capability
  4. 04
    AC
    Qwen2 7B InstructAlibaba Cloud / Qwen Team
    Score
    72.1%

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AlignBench, not total model capability

Selection summary

Best AI Models for AlignBench

Qwen2.5 72B Instruct currently leads AlignBench with 81.6%. 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 #1Qwen2.5 72B Instruct81.6% · $1.4 input / $5.6 output per 1M tokensBenchmark rank #2DeepSeek-V2.580.4% · Up to 100 tok/s via DeepSeekBenchmark rank #3Qwen2.5 7B Instruct73.3% · $0.17 input / $0.70 output per 1M tokens

What is AlignBench?

What AlignBench measures and how its scores work.

AlignBench is a comprehensive multi-dimensional benchmark for evaluating Chinese alignment of Large Language Models. It contains 8 main categories: Fundamental Language Ability, Advanced Chinese Understanding, Open-ended Questions, Writing Ability, Logical Reasoning, Mathematics, Task-oriented Role Play, and Professional Knowledge. The benchmark includes 683 real-scenario rooted queries with human-verified references and uses a rule-calibrated multi-dimensional LLM-as-Judge approach with Chain-of-Thought for evaluation.

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

Family
AlignBench
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
alignbench|llm-stats-current

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

FAQ

Common questions about AlignBench.

Which model scores highest on AlignBench?

Qwen2.5 72B Instruct is currently ranked first with 81.6%.

What does AlignBench measure?

AlignBench is a comprehensive multi-dimensional benchmark for evaluating Chinese alignment of Large Language Models. It contains 8 main categories: Fundamental Language Ability, Advanced Chinese Understanding, Open-ended Questions, Writing Ability, Logical Reasoning, Mathematics, Task-oriented Role Play, and Professional Knowledge. The benchmark includes 683 real-scenario rooted queries with human-verified references and uses a rule-calibrated multi-dimensional LLM-as-Judge approach with Chain-of-Thought for evaluation.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

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