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general benchmark

Include Leaderboard

Include is a general benchmark with a Score reported as a ratio.

Updated Sep 5, 2026

Models31
Model coverage31
MetricScore
EvidenceB

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Include Ranking

Higher score ranks better on this benchmark.

30 of 31 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 4.8AnthropicScore87.60%Percentile100.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore86.20%Percentile96.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore85.60%Percentile93.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore85.10%Percentile90.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore83.00%Percentile86.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore82.80%Percentile83.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore81.60%Percentile80.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3-235B-A22B-Thinking-2507Alibaba Cloud / Qwen TeamScore81.00%Percentile76.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore80.00%Percentile73.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore80.00%Percentile70.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore79.70%Percentile66.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore79.50%Percentile63.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3-Next-80B-A3B-InstructAlibaba Cloud / Qwen TeamScore78.90%Percentile60.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3-Next-80B-A3B-ThinkingAlibaba Cloud / Qwen TeamScore78.90%Percentile56.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore76.30%Percentile53.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore75.60%Percentile50.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore74.50%Percentile46.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore74.00%Percentile43.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 235B A22BAlibaba Cloud / Qwen TeamScore73.46%Percentile40.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore71.60%Percentile36.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank21ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore71.00%Percentile33.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore69.50%Percentile30.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank23ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore67.00%Percentile26.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore64.60%Percentile23.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore61.40%Percentile20.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank26ModelGOGemma 3n E4B InstructedGoogleScore57.20%Percentile16.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank27ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore57.20%Percentile13.33%Participants31EvidenceCEvaluatedSep 8, 2026
Rank28ModelACQwen3.5-2BAlibaba Cloud / Qwen TeamScore55.40%Percentile10.00%Participants31EvidenceCEvaluatedSep 8, 2026
Rank29ModelACQwen3.5-0.8BAlibaba Cloud / Qwen TeamScore40.60%Percentile6.67%Participants31EvidenceCEvaluatedSep 8, 2026
Rank30ModelGOGemma 3n E2B InstructedGoogleScore38.60%Percentile3.33%Participants31EvidenceCEvaluatedSep 8, 2026

Include Highlights

The leading models and scores on this benchmark.

Include Score Distribution

A closer view of the leading scores on this benchmark.

Include

The Top AI Models for Include

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

What is Include?

What Include measures and how its scores work.

Include is a general benchmark.

It reports a Score as a ratio.

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

Family
Include
Modality
text
Primary category
general
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 Include.

Which model scores highest on Include?

Claude Opus 4.8 is currently ranked first with 87.60%.

What are the top three models on Include?

The current leaders are Claude Opus 4.8 (87.60%), Qwen3.7 Max (86.20%), and Qwen3.5-397B-A17B (85.60%).

Which Include 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 Include results?

The fastest matched records are Claude Opus 4.8 (42.00 tok/s via Vertex AI), Qwen3-235B-A22B-Instruct-2507 (21.74 tok/s via DeepInfra), and Qwen3 235B A22B (21.74 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 Include measure?

It reports a Score as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

31 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 #1Claude Opus 4.887.60%
Rank #2Qwen3.7 Max86.20%
Rank #3Qwen3.5-397B-A17B85.60%
Rank #4Qwen3.6 Plus85.10%

Ranking basisThis include 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
    AN
    Claude Opus 4.8Anthropic
    Score
    87.60%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Vertex AI

    Strengths

    • Ranks #1 of 31 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Include, not total model capability
  2. 02
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    86.20%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #2 of 31 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Include, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    85.60%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #3 of 31 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Include, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    85.10%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #4 of 31 compared models
    • 90th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Include, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    83.00%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #5 of 31 compared models
    • 87th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Include, not total model capability

Selection summary

Best AI Models for Include

Claude Opus 4.8 currently leads Include with 87.60%. 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.

Qwen3.5-397B-A17B
Qwen3.6 Plus
Qwen3.7-Plus
Benchmark rank #1Claude Opus 4.887.60% · $5.0 input / $25 output per 1M tokens
Benchmark rank #2Qwen3.7 Max86.20% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #3Qwen3.5-397B-A17B85.60% · $0.60 input / $3.6 output per 1M tokens