language benchmark
MEGA TyDi QA
TyDi QA as part of the MEGA benchmark suite. A question answering dataset covering 11 typologically diverse languages (Arabic, Bengali, English, Finnish, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, and Thai) with 204K question-answer pairs. Features realistic information-seeking questions written by people who want to know the answer but don't know it yet.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MEGA TyDi QA Ranking
Higher score ranks better on this benchmark.
| 1 | MI | 67.1% | 100.0% | 2 | C | |
| 2 | MI | 62.2% | 0.0% | 2 | C |
MEGA TyDi QA Score Distribution
A closer view of the leading scores on this benchmark.
MEGA TyDi QA Highlights
The leading models and scores on this benchmark.
What is MEGA TyDi QA?
What MEGA TyDi QA measures and how its scores work.
TyDi QA as part of the MEGA benchmark suite. A question answering dataset covering 11 typologically diverse languages (Arabic, Bengali, English, Finnish, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, and Thai) with 204K question-answer pairs. Features realistic information-seeking questions written by people who want to know the answer but don't know it yet.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MEGA TyDi QA
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mega-tydi-qa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MEGA TyDi QA.
Which model scores highest on MEGA TyDi QA?
Phi-3.5-MoE-instruct is currently ranked first with 67.1%.
What does MEGA TyDi QA measure?
TyDi QA as part of the MEGA benchmark suite. A question answering dataset covering 11 typologically diverse languages (Arabic, Bengali, English, Finnish, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, and Thai) with 204K question-answer pairs. Features realistic information-seeking questions written by people who want to know the answer but don't know it yet.
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.