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reasoning benchmark

DRACO Leaderboard

DRACO is a deep research benchmark for evaluating an agent's ability to gather, synthesize, and reason over information to answer complex research questions.

Updated Sep 5, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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DRACO Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelTEHy4 previewTencentScore77.20%Percentile100.00%Participants2EvidenceCEvaluatedSep 8, 2026
Rank02ModelMIMiniMax M3MiniMaxScore73.23%Percentile0.00%Participants2EvidenceCEvaluatedSep 8, 2026

DRACO Highlights

The leading models and scores on this benchmark.

Rank #1Hy4 preview77.20%Rank #2MiniMax M373.23%

DRACO Score Distribution

A closer view of the leading scores on this benchmark.

DRACO

The Top AI Models for DRACO

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

What is DRACO?

What DRACO measures and how its scores work.

DRACO is a deep research benchmark in the reasoning category.

It measures an agent's ability to gather, synthesize, and reason over information to answer complex research questions, using the Score metric reported as a ratio based on the average of official rubric scores across all questions.

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

Family
DRACO
Modality
text
Primary category
reasoning
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 DRACO.

Which model scores highest on DRACO?

Hy4 preview is currently ranked first with 77.20%.

What are the top three models on DRACO?

The current leaders are Hy4 preview (77.20%) and MiniMax M3 (73.23%).

Which DRACO model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among DRACO results?

The fastest matched records are MiniMax M3 (6.61 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 DRACO measure?

It measures an agent's ability to gather, synthesize, and reason over information to answer complex research questions, using the Score metric reported as a ratio based on the average of official rubric scores across all questions.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 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.

Ranking basisThis draco 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
    TE
    Hy4 previewTencent
    Score
    77.20%

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DRACO, not total model capability
  2. 02
    MI
    MiniMax M3MiniMax
    Score
    73.23%
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 6.61 tok/s via MiniMax

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures DRACO, not total model capability

Selection summary

Best AI Models for DRACO

Hy4 preview currently leads DRACO with 77.20%. 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 #1Hy4 preview77.20%
Benchmark rank #2MiniMax M373.23% · $0.30 input / $1.2 output per 1M tokens