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reasoning benchmark

Seal-0 Leaderboard

Seal-0 is a benchmark for evaluating agentic search capabilities.

Updated Sep 5, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • Top models
  • About
  • FAQ

Seal-0 Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2.5Moonshot AIScore57.40%Percentile100.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank02ModelMAKimi K2-Thinking-0905Moonshot AIScore56.30%Percentile80.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore47.20%Percentile60.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore46.90%Percentile40.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore44.10%Percentile20.00%Participants6EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore41.40%Percentile0.00%Participants6EvidenceCEvaluatedSep 8, 2026

Seal-0 Highlights

The leading models and scores on this benchmark.

Seal-0 Score Distribution

A closer view of the leading scores on this benchmark.

Seal-0

The Top AI Models for Seal-0

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

What is Seal-0?

What Seal-0 measures and how its scores work.

Seal-0 is a reasoning benchmark that evaluates agentic search capabilities.

It measures models' ability to navigate and retrieve information using tools, with the metric Score reported as a ratio.

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

Family
Seal-0
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 Seal-0.

Which model scores highest on Seal-0?

Kimi K2.5 is currently ranked first with 57.40%.

What are the top three models on Seal-0?

The current leaders are Kimi K2.5 (57.40%), Kimi K2-Thinking-0905 (56.30%), and Qwen3.5-27B (47.20%).

Which Seal-0 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 Seal-0 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 Seal-0 measure?

It measures models' ability to navigate and retrieve information using tools, with the metric Score reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 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 #1Kimi K2.557.40%
Rank #2Kimi K2-Thinking-090556.30%
Rank #3Qwen3.5-27B47.20%
Rank #4Qwen3.5-397B-A17B46.90%

Ranking basisThis seal-0 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
    MA
    Kimi K2.5Moonshot AI
    Score
    57.40%

    Strengths

    • Ranks #1 of 6 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Seal-0, not total model capability
  2. 02
    MA
    Kimi K2-Thinking-0905Moonshot AI
    Score
    56.30%

    Strengths

    • Ranks #2 of 6 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Seal-0, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    47.20%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #3 of 6 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Seal-0, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    46.90%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #4 of 6 compared models
    • 40th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Seal-0, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    44.10%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #5 of 6 compared models
    • 20th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Seal-0, not total model capability

Selection summary

Best AI Models for Seal-0

Kimi K2.5 currently leads Seal-0 with 57.40%. 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.

Qwen3.5-27B
Qwen3.5-397B-A17B
Qwen3.5-122B-A10B
Benchmark rank #1Kimi K2.557.40%
Benchmark rank #2Kimi K2-Thinking-090556.30%
Benchmark rank #3Qwen3.5-27B47.20% · $0.30 input / $2.4 output per 1M tokens