reasoning benchmark
TydiQA Leaderboard
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 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
TydiQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score31.7% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score31.5% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
TydiQA Highlights
The leading models and scores on this benchmark.
TydiQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for TydiQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis tydiqa 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.
- 01MELlama 4 MaverickMeta
- Score
- 31.7%
- Speed
- Up to 639 tok/s via Sambanova
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures TydiQA, not total model capability
- 02MELlama 4 ScoutMeta
- Score
- 31.5%
- Speed
- Up to 776 tok/s via Groq
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures TydiQA, not total model capability
Selection summary
Best AI Models for TydiQA
Llama 4 Maverick currently leads TydiQA with 31.7%. 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 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
- reasoning
- 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.