A multilingual benchmark used in provider tables to measure inclusive language coverage and cross-lingual understanding beyond common high-resource languages.
BenchLM mirrors the published score view for INCLUDE. Claude Opus 4.8 leads the public snapshot at 87.6% , followed by Claude Sonnet 5 (86.5%) and Qwen3.7 Max (86.2%). BenchLM does not use these results to rank models overall.
Claude Opus 4.8
Anthropic
Claude Sonnet 5
Anthropic
Qwen3.7 Max
Alibaba
The published INCLUDE snapshot is tightly clustered at the top: Claude Opus 4.8 sits at 87.6%, while the third row is only 1.4 points behind. The broader top-10 spread is 4.6 points, so many of the published scores sit in a relatively narrow band.
4 models have been evaluated on INCLUDE. The benchmark falls in the Multilingual category. This category carries a 7% weight in BenchLM.ai's overall scoring system. INCLUDE is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Cross-lingual understanding
Format
Multilingual benchmark
Difficulty
Broad multilingual capability
INCLUDE is useful as a multilingual breadth check because it is intended to reward stronger performance across a wider and less English-centric language set than basic translated math benchmarks.
Version
INCLUDE 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A multilingual benchmark used in provider tables to measure inclusive language coverage and cross-lingual understanding beyond common high-resource languages.
Claude Opus 4.8 by Anthropic currently leads with a score of 87.6% on INCLUDE.
4 AI models have been evaluated on INCLUDE on BenchLM.
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