A document understanding benchmark used in frontier-model comparison tables to measure extraction and grounded reasoning quality on complex documents.
BenchLM mirrors the published score view for OmniDocBench 1.5. MiniMax M3 leads the public snapshot at 91.6% , followed by Qwen3.7 Plus (91.4%) and Qwen3.6-35B-A3B (89.9%). BenchLM does not use these results to rank models overall.
MiniMax M3
MiniMax
Qwen3.7 Plus
Alibaba
Qwen3.6-35B-A3B
Alibaba
The published OmniDocBench 1.5 snapshot is tightly clustered at the top: MiniMax M3 sits at 91.6%, while the third row is only 1.7 points behind. The broader top-10 spread is 1.7 points, so many of the published scores sit in a relatively narrow band.
3 models have been evaluated on OmniDocBench 1.5. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. OmniDocBench 1.5 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Document understanding tasks
Format
Document understanding benchmark
Difficulty
Grounded document reasoning
BenchLM stores OmniDocBench 1.5 as the higher-is-better score format used in current first-party comparison tables. Earlier low-is-better error-style rows are intentionally not mixed into this benchmark key.
Version
OmniDocBench 1.5 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 document understanding benchmark used in frontier-model comparison tables to measure extraction and grounded reasoning quality on complex documents.
MiniMax M3 by MiniMax currently leads with a score of 91.6% on OmniDocBench 1.5.
3 AI models have been evaluated on OmniDocBench 1.5 on BenchLM.
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