language benchmark
TydiQA is a multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs collected directly in each language without translation.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score31.70% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score31.50% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What TydiQA measures and how its scores work.
TydiQA is a language benchmark consisting of questions written by people seeking genuine information across 11 typologically diverse languages.
It measures question-answering performance using Score, reported as a ratio, and tests model generalization across diverse linguistic structures.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about TydiQA.
Llama 4 Maverick is currently ranked first with 31.70%.
The current leaders are Llama 4 Maverick (31.70%) and Llama 4 Scout (31.50%).
No matched official input price is currently available.
The fastest matched records are Llama 4 Scout (776.10 tok/s via Groq) and Llama 4 Maverick (307.30 tok/s via Groq).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures question-answering performance using Score, reported as a ratio, and tests model generalization across diverse linguistic structures.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis tydiqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Llama 4 Maverick currently leads TydiQA with 31.70%. 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.