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. Qwen3.7 Max leads the public snapshot at 86.2%. BenchLM does not use these results to rank models overall.
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.
Qwen3.7 Max by Alibaba currently leads with a score of 86.2% on INCLUDE.
1 AI models have been evaluated on INCLUDE on BenchLM.
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