general benchmark
Include Leaderboard
Include benchmark - specific documentation not found in official sources
Updated Aug 17, 2026
Models31
Model coverage31
MetricScore
EvidenceB
Include Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score87.6% | Percentile100.0% | Participants31 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score86.2% | Percentile96.7% | Participants31 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score85.6% | Percentile93.3% | Participants31 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score85.1% | Percentile90.0% | Participants31 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score83.0% | Percentile86.7% | Participants31 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score82.8% | Percentile83.3% | Participants31 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score81.6% | Percentile80.0% | Participants31 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score81.0% | Percentile76.7% | Participants31 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score80.0% | Percentile73.3% | Participants31 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score80.0% | Percentile70.0% | Participants31 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score79.7% | Percentile66.7% | Participants31 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score79.5% | Percentile63.3% | Participants31 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score78.9% | Percentile60.0% | Participants31 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score78.9% | Percentile56.7% | Participants31 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score76.3% | Percentile53.3% | Participants31 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score75.6% | Percentile50.0% | Participants31 | EvidenceC | Evaluated |
| Rank17 | ModelAC | Score74.5% | Percentile46.7% | Participants31 | EvidenceC | Evaluated |
| Rank18 | ModelAC | Score74.0% | Percentile43.3% | Participants31 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score73.5% | Percentile40.0% | Participants31 | EvidenceC | Evaluated |
| Rank20 | ModelAC | Score71.6% | Percentile36.7% | Participants31 | EvidenceC | Evaluated |
| Rank21 | ModelAC | Score71.0% | Percentile33.3% | Participants31 | EvidenceC | Evaluated |
| Rank22 | ModelAC | Score69.5% | Percentile30.0% | Participants31 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score67.0% | Percentile26.7% | Participants31 | EvidenceC | Evaluated |
| Rank24 | ModelAC | Score64.6% | Percentile23.3% | Participants31 | EvidenceC | Evaluated |
| Rank25 | ModelAC | Score61.4% | Percentile20.0% | Participants31 | EvidenceC | Evaluated |
| Rank26 | ModelGO | Score57.2% | Percentile16.7% | Participants31 | EvidenceC | Evaluated |
| Rank27 | ModelGO | Score57.2% | Percentile13.3% | Participants31 | EvidenceC | Evaluated |
| Rank28 | ModelAC | Score55.4% | Percentile10.0% | Participants31 | EvidenceC | Evaluated |
| Rank29 | ModelAC | Score40.6% | Percentile6.7% | Participants31 | EvidenceC | Evaluated |
| Rank30 | ModelGO | Score38.6% | Percentile3.3% | Participants31 | EvidenceC | Evaluated |
| Rank31 | ModelGO | Score38.6% | Percentile0.0% | Participants31 | EvidenceC | Evaluated |
Include Highlights
The leading models and scores on this benchmark.
Include Score Distribution
A closer view of the leading scores on this benchmark.
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.
Ranking basisThis include 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.
- 01ANClaude Opus 4.8Anthropic
- Score
- 87.6%
- Price
- $5.0 input / $25 output per 1M tokens
- Speed
- Up to 46 tok/s via Anthropic
Strengths
- Ranks #1 of 31 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Include, not total model capability
- 02ACQwen3.7 MaxAlibaba Cloud / Qwen Team
- Score
- 86.2%
- Price
- $2.5 input / $7.5 output per 1M tokens
- Speed
- Up to 5.8 tok/s via Together
Strengths
- Ranks #2 of 31 compared models
- 97th percentile on this benchmark
- C evidence result
Considerations
- This result measures Include, not total model capability
- 03ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team
- Score
- 85.6%
- 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
- 04ACQwen3.6 PlusAlibaba Cloud / Qwen Team
- Score
- 85.1%
- Price
- $0.50 input / $3.0 output per 1M tokens
- Speed
- Up to 16 tok/s via Together
Strengths
- Ranks #4 of 31 compared models
- 90th percentile on this benchmark
- C evidence result
Considerations
- This result measures Include, not total model capability
- 05ACQwen3.7-PlusAlibaba Cloud / Qwen Team
- Score
- 83.0%
- 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 87.6%. 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.
What is Include?
What Include measures and how its scores work.
Include benchmark - specific documentation not found in official sources
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
- Yes
- Evaluation key
- include|llm-stats-current
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 87.6%.
What does Include measure?
Include benchmark - specific documentation not found in official sources
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?
Yes. This benchmark can contribute to the current LLMBoard capability score.