Multilingual MMBench
Multilingual MMBench as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Multilingual category, with-thinking column. Multilingual MMBench; distinct from inventory's 'MMMLU' (MMLU-based) and 'MMBench EN-DEV v1.1'.
Category
Multilingual
Score type
percent
Scale
100%
higher is better
Models tested
1
What is Multilingual MMBench?
Multilingual MMBench is a benchmark for performance in languages other than English. The official description says: "Multilingual MMBench as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Multilingual category, with-thinking column". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
Multilingual MMBench measures performance in languages other than english. In detail, it checks:
- understanding and answering in many different languages
- translation quality between language pairs
- keeping math and reasoning quality when the question is not in English
- treating low-resource languages fairly instead of defaulting to English
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: Multilingual MMBench as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Multilingual category, with-thinking column. Multilingual MMBench; distinct from inventory's 'MMMLU' (MMLU-based) and 'MMBench EN-DEV v1.1'.
Frequently asked questions
What is the Multilingual MMBench benchmark?
Multilingual MMBench is a benchmark for performance in languages other than English. The official description says: 'Multilingual MMBench as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Multilingual category, with-thinking column'. Below we describe in simple words what benchmarks of this type generally examine.
What does Multilingual MMBench test?
Multilingual MMBench mainly measures performance in languages other than English. Concretely, it checks: understanding and answering in many different languages; translation quality between language pairs; keeping math and reasoning quality when the question is not in English.
How is the Multilingual MMBench score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get Multilingual MMBench data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/mmbench-multilingual/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
LFM3-VL-2B
LiquidAI
|
83.6%
|
— | Report | Verified |