A multilingual benchmark used in provider tables to measure inclusive language coverage and cross-lingual understanding beyond common high-resource languages.
As of March 2026, Claude Opus 4.5 leads the INCLUDE leaderboard with 86.2% , followed by Qwen3.5 397B (85.6%) and Qwen3.6 Plus (85.1%).
Claude Opus 4.5
Anthropic
Qwen3.5 397B
Alibaba
Qwen3.6 Plus
Alibaba
According to BenchLM.ai, Claude Opus 4.5 leads the INCLUDE benchmark with a score of 86.2%, followed by Qwen3.5 397B (85.6%) and Qwen3.6 Plus (85.1%). The top models are clustered within 1.1 points, suggesting this benchmark is nearing saturation for frontier models.
5 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.
Qwen3.6 launch benchmarksVersion
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 4.5 by Anthropic currently leads with a score of 86.2% on INCLUDE.
5 AI models have been evaluated on INCLUDE on BenchLM.
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