long context benchmark
MMLongBench-Doc Leaderboard
MMLongBench-Doc evaluates long document understanding capabilities in vision-language models.
Updated Sep 5, 2026
Models5
Model coverage5
MetricScore
EvidenceB
MMLongBench-Doc Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score0.62 points | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score0.60 points | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score0.60 points | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score0.59 points | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score0.56 points | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
MMLongBench-Doc Highlights
The leading models and scores on this benchmark.
MMLongBench-Doc Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MMLongBench-Doc
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MMLongBench-Doc?
What MMLongBench-Doc measures and how its scores work.
MMLongBench-Doc is a benchmark for evaluating long document understanding in vision-language models.
It measures long document understanding capabilities, reported as a Score in points.
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
- No
- Evaluation key
- overall
LLM Stats. 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 are the top three models on MMLongBench-Doc?
The current leaders are Qwen3.6 Plus (0.62 points), Qwen3.5-27B (0.60 points), and Qwen3.5-35B-A3B (0.60 points).
Which MMLongBench-Doc model has the lowest official input price?
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
Which models are fastest among MMLongBench-Doc results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.