A multilingual benchmark used in provider tables to measure inclusive language coverage and cross-lingual understanding beyond common high-resource languages.
BenchLM is tracking INCLUDE in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for INCLUDE. Claude Opus 4.5 leads the public snapshot at 86.2% , followed by Qwen3.5 397B (85.6%) and Qwen3.6 Plus (85.1%). BenchLM does not use these results to rank models overall.
Claude Opus 4.5
Anthropic
claude-opus-4-5
Qwen3.5 397B
Alibaba
qwen3-5-397b
Qwen3.6 Plus
Alibaba
qwen3-6-plus
The published INCLUDE snapshot is tightly clustered at the top: Claude Opus 4.5 sits at 86.2%, while the third row is only 1.1 points behind. The broader top-10 spread is 2.9 points, so many of the published scores sit in a relatively narrow band.
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.
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 4.5 currently leads the published INCLUDE snapshot with a tracked score of 86.2%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
5 AI models are included in BenchLM's mirrored INCLUDE snapshot, based on the public leaderboard captured on April 10, 2026.
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