A long-document multimodal benchmark for grounded reasoning over extended document contexts.
As of March 2026, Qwen3.6 Plus leads the MMLongBench-Doc leaderboard with 62.0% , followed by Qwen3.5 397B (61.5%) and Gemini 3 Pro (60.5%).
Qwen3.6 Plus
Alibaba
Qwen3.5 397B
Alibaba
Gemini 3 Pro
According to BenchLM.ai, Qwen3.6 Plus leads the MMLongBench-Doc benchmark with a score of 62.0%, followed by Qwen3.5 397B (61.5%) and Gemini 3 Pro (60.5%). The top models are clustered within 1.5 points, suggesting this benchmark is nearing saturation for frontier models.
4 models have been evaluated on MMLongBench-Doc. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMLongBench-Doc is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Long document understanding
Format
Document-grounded reasoning
Difficulty
Long-context document reasoning
MMLongBench-Doc is designed to test whether a model can maintain grounded understanding across large document contexts rather than only short OCR-style snippets.
Qwen3.6 launch benchmarksVersion
MMLongBench-Doc 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 long-document multimodal benchmark for grounded reasoning over extended document contexts.
Qwen3.6 Plus by Alibaba currently leads with a score of 62.0% on MMLongBench-Doc.
4 AI models have been evaluated on MMLongBench-Doc on BenchLM.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.