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math benchmark

DynaMath Leaderboard

DynaMath is a multimodal mathematics and reasoning benchmark focused on dynamic visual problem solving.

Updated Sep 5, 2026

Models7
Model coverage7
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • About
  • FAQ

DynaMath Ranking

Higher score ranks better on this benchmark.

7 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore88.00%Percentile100.00%Participants7EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore87.70%Percentile83.33%Participants7EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore85.90%Percentile66.67%Participants7EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore85.60%Percentile50.00%Participants7EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore85.00%Percentile33.33%Participants7EvidenceCEvaluatedSep 8, 2026
Rank06ModelBYSeed 2.1 ProByteDanceScore73.10%Percentile16.67%Participants7EvidenceCEvaluatedSep 8, 2026
Rank07ModelBYSeed 2.1 TurboByteDanceScore68.10%Percentile0.00%Participants7EvidenceCEvaluatedSep 8, 2026

DynaMath Highlights

The leading models and scores on this benchmark.

DynaMath Score Distribution

A closer view of the leading scores on this benchmark.

DynaMath

The Top AI Models for DynaMath

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

What is DynaMath?

What DynaMath measures and how its scores work.

DynaMath is a benchmark for multimodal mathematics and reasoning with dynamic visual problem solving.

It measures performance on dynamic visual mathematics and reasoning problems 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
DynaMath
Modality
multimodal
Primary category
math
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 DynaMath.

Which model scores highest on DynaMath?

Qwen3.6 Plus is currently ranked first with 88.00%.

What are the top three models on DynaMath?

The current leaders are Qwen3.6 Plus (88.00%), Qwen3.5-27B (87.70%), and Qwen3.5-122B-A10B (85.90%).

Which DynaMath model has the lowest official input price?

Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.

Which models are fastest among DynaMath results?

No matched runtime record is currently available.

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 DynaMath measure?

It measures performance on dynamic visual mathematics and reasoning problems 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?

7 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 #1Qwen3.6 Plus88.00%
Rank #2Qwen3.5-27B87.70%
Rank #3Qwen3.5-122B-A10B85.90%
Rank #4Qwen3.6-27B85.60%

Ranking basisThis dynamath 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
    Qwen3.6 PlusAlibaba Cloud / Qwen Team
    Score
    88.00%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #1 of 7 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DynaMath, not total model capability
  2. 02
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    87.70%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #2 of 7 compared models
    • 83th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DynaMath, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    85.90%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #3 of 7 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DynaMath, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    85.60%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #4 of 7 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DynaMath, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    85.00%
    Price
    $0.25 input / $2.0 output per 1M tokens

    Strengths

    • Ranks #5 of 7 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DynaMath, not total model capability

Selection summary

Best AI Models for DynaMath

Qwen3.6 Plus currently leads DynaMath with 88.00%. 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.

Qwen3.5-122B-A10B
Qwen3.6-27B
Qwen3.5-35B-A3B
Benchmark rank #1Qwen3.6 Plus88.00% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #2Qwen3.5-27B87.70% · $0.30 input / $2.4 output per 1M tokens
Benchmark rank #3Qwen3.5-122B-A10B85.90% · $0.40 input / $3.2 output per 1M tokens