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language benchmark

MEGA XStoryCloze

XStoryCloze as part of the MEGA benchmark suite. A cross-lingual story completion task that consists of professionally translated versions of the English StoryCloze dataset to 10 non-English languages. Requires models to predict the correct ending for a given four-sentence story, evaluating commonsense reasoning and narrative understanding.

Updated Aug 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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MEGA XStoryCloze Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

01MIPhi-3.5-MoE-instructMicrosoft82.8%100.0%2CAug 11, 2026
02MIPhi-3.5-mini-instructMicrosoft73.5%0.0%2CAug 11, 2026

MEGA XStoryCloze Score Distribution

A closer view of the leading scores on this benchmark.

MEGA XStoryCloze

MEGA XStoryCloze Highlights

The leading models and scores on this benchmark.

Rank #1Phi-3.5-MoE-instruct82.8%Rank #2Phi-3.5-mini-instruct73.5%

What is MEGA XStoryCloze?

What MEGA XStoryCloze measures and how its scores work.

XStoryCloze as part of the MEGA benchmark suite. A cross-lingual story completion task that consists of professionally translated versions of the English StoryCloze dataset to 10 non-English languages. Requires models to predict the correct ending for a given four-sentence story, evaluating commonsense reasoning and narrative understanding.

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

Family
MEGA XStoryCloze
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
No
Evaluation key
mega-xstorycloze|llm-stats-current

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

FAQ

Common questions about MEGA XStoryCloze.

Which model scores highest on MEGA XStoryCloze?

Phi-3.5-MoE-instruct is currently ranked first with 82.8%.

What does MEGA XStoryCloze measure?

XStoryCloze as part of the MEGA benchmark suite. A cross-lingual story completion task that consists of professionally translated versions of the English StoryCloze dataset to 10 non-English languages. Requires models to predict the correct ending for a given four-sentence story, evaluating commonsense reasoning and narrative understanding.

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.