reasoning benchmark
MEGA XStoryCloze Leaderboard
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 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MEGA XStoryCloze Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score82.8% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score73.5% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
MEGA XStoryCloze Highlights
The leading models and scores on this benchmark.
MEGA XStoryCloze Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MEGA XStoryCloze
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mega xstorycloze 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.
- 01MIPhi-3.5-MoE-instructMicrosoft
- Score
- 82.8%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MEGA XStoryCloze, not total model capability
- 02MIPhi-3.5-mini-instructMicrosoft
- Score
- 73.5%
- Speed
- Up to 23 tok/s via Azure
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MEGA XStoryCloze, not total model capability
Selection summary
Best AI Models for MEGA XStoryCloze
Phi-3.5-MoE-instruct currently leads MEGA XStoryCloze with 82.8%. 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 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
- reasoning
- 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.