long context benchmark
MMLongBench-Doc
MMLongBench-Doc evaluates long document understanding capabilities in vision-language models.
Updated Aug 11, 2026
Models5
Model coverage5
MetricScore
EvidenceB
MMLongBench-Doc Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 0.62 points | 100.0% | 5 | C | |
| 2 | AC | 0.602 points | 75.0% | 5 | C | |
| 3 | AC | 0.595 points | 50.0% | 5 | C | |
| 4 | AC | 0.59 points | 25.0% | 5 | C | |
| 5 | AC | 0.562 points | 0.0% | 5 | C |
MMLongBench-Doc Score Distribution
A closer view of the leading scores on this benchmark.
MMLongBench-Doc Highlights
The leading models and scores on this benchmark.
What is MMLongBench-Doc?
What MMLongBench-Doc measures and how its scores work.
MMLongBench-Doc evaluates long document understanding capabilities in vision-language models.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMLongBench-Doc
- Modality
- image
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmlongbench-doc|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMLongBench-Doc.
Which model scores highest on MMLongBench-Doc?
Qwen3.6 Plus is currently ranked first with 0.62 points.
What does MMLongBench-Doc measure?
MMLongBench-Doc evaluates long document understanding capabilities in vision-language models.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.