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language benchmark

TydiQA

A multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs. Questions are written by people seeking genuine information and data is collected directly in each language without translation to test model generalization across diverse linguistic structures.

Updated Aug 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

TydiQA Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

01MELlama 4 MaverickMeta31.7%100.0%2CAug 11, 2026
02MELlama 4 ScoutMeta31.5%0.0%2CAug 11, 2026

TydiQA Score Distribution

A closer view of the leading scores on this benchmark.

TydiQA

TydiQA Highlights

The leading models and scores on this benchmark.

Rank #1Llama 4 Maverick31.7%Rank #2Llama 4 Scout31.5%

What is TydiQA?

What TydiQA measures and how its scores work.

A multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs. Questions are written by people seeking genuine information and data is collected directly in each language without translation to test model generalization across diverse linguistic structures.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
TydiQA
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
No
Evaluation key
tydiqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about TydiQA.

Which model scores highest on TydiQA?

Llama 4 Maverick is currently ranked first with 31.7%.

What does TydiQA measure?

A multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs. Questions are written by people seeking genuine information and data is collected directly in each language without translation to test model generalization across diverse linguistic structures.

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.