multimodal benchmark
Dense200 Leaderboard
Dense200 is a multimodal benchmark for visual grounding and bounding-box localization in dense natural scenes.
Updated Oct 23, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Dense200 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score42.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
Dense200 Highlights
The leading models and scores on this benchmark.
The Top AI Models for Dense200
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis dense200 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMistral AI
- Score
- 42.00%
- Price
- $1.4 input / $4.2 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Dense200, not total model capability
Selection summary
Best AI Models for Dense200
Mistral Large 4 currently leads Dense200 with 42.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is Dense200?
What Dense200 measures and how its scores work.
Dense200 is a visual grounding and bounding-box benchmark.
It measures how accurately models localize objects in dense natural scenes using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Dense200
- Modality
- multimodal
- Primary category
- multimodal
- 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 Dense200.
Which model scores highest on Dense200?
Mistral Large 4 is currently ranked first with 42.00%.
What are the top three models on Dense200?
The current leaders are Mistral Large 4 (42.00%).
Which Dense200 model has the lowest official input price?
Mistral Large 4 has the lowest matched official input price at $1.4 input / $4.2 output per 1M tokens.
Which models are fastest among Dense200 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.