language benchmark
MEGA UDPOS Leaderboard
Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MEGA UDPOS Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score60.4% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score46.5% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
MEGA UDPOS Highlights
The leading models and scores on this benchmark.
MEGA UDPOS Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MEGA UDPOS
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mega udpos AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIPhi-3.5-MoE-instructMicrosoft
- Score
- 60.4%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MEGA UDPOS, not total model capability
- 02MIPhi-3.5-mini-instructMicrosoft
- Score
- 46.5%
- Speed
- Up to 23 tok/s via Azure
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MEGA UDPOS, not total model capability
Selection summary
Best AI Models for MEGA UDPOS
Phi-3.5-MoE-instruct currently leads MEGA UDPOS with 60.4%. 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 MEGA UDPOS?
What MEGA UDPOS measures and how its scores work.
Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MEGA UDPOS
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mega-udpos|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MEGA UDPOS.
Which model scores highest on MEGA UDPOS?
Phi-3.5-MoE-instruct is currently ranked first with 60.4%.
What does MEGA UDPOS measure?
Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.