multimodal benchmark
HR-Bench (4k) Leaderboard
HR-Bench (4k) is a multimodal benchmark for image understanding on high-resolution visual inputs with a 4k setting.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
HR-Bench (4k) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score88.50% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
HR-Bench (4k) Highlights
The leading models and scores on this benchmark.
The Top AI Models for HR-Bench (4k)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis hr-bench (4k) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XIXiaomi
- Score
- 88.50%
- Price
- $0.14 input / $0.28 output per 1M tokens
- Speed
- Up to 5.39 tok/s via DeepInfra
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures HR-Bench (4k), not total model capability
Selection summary
Best AI Models for HR-Bench (4k)
MiMo-V2.5 currently leads HR-Bench (4k) with 88.50%. 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 HR-Bench (4k)?
What HR-Bench (4k) measures and how its scores work.
HR-Bench (4k) is a multimodal benchmark.
It measures image understanding on high-resolution visual inputs with a 4k setting.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- HR-Bench (4k)
- 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 HR-Bench (4k).
Which model scores highest on HR-Bench (4k)?
MiMo-V2.5 is currently ranked first with 88.50%.
What are the top three models on HR-Bench (4k)?
The current leaders are MiMo-V2.5 (88.50%).
Which HR-Bench (4k) model has the lowest official input price?
MiMo-V2.5 has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
Which models are fastest among HR-Bench (4k) results?
The fastest matched records are MiMo-V2.5 (5.39 tok/s via DeepInfra).
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.