long context benchmark
InfiniteBench/En.MC Leaderboard
InfiniteBench English Multiple Choice variant - first LLM benchmark featuring average data length surpassing 100K tokens for evaluating long-context capabilities with 12 tasks spanning diverse domains
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
InfiniteBench/En.MC Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score63.3% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
InfiniteBench/En.MC Highlights
The leading models and scores on this benchmark.
The Top AI Models for InfiniteBench/En.MC
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis infinitebench/en.mc 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.
- 01ME
- Score
- 63.3%
- Speed
- Up to 172 tok/s via DeepInfra
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures InfiniteBench/En.MC, not total model capability
Selection summary
Best AI Models for InfiniteBench/En.MC
Llama 3.2 3B Instruct currently leads InfiniteBench/En.MC with 63.3%. 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 InfiniteBench/En.MC?
What InfiniteBench/En.MC measures and how its scores work.
InfiniteBench English Multiple Choice variant - first LLM benchmark featuring average data length surpassing 100K tokens for evaluating long-context capabilities with 12 tasks spanning diverse domains
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- InfiniteBench/En.MC
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- infinitebench-en.mc|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about InfiniteBench/En.MC.
Which model scores highest on InfiniteBench/En.MC?
Llama 3.2 3B Instruct is currently ranked first with 63.3%.
What does InfiniteBench/En.MC measure?
InfiniteBench English Multiple Choice variant - first LLM benchmark featuring average data length surpassing 100K tokens for evaluating long-context capabilities with 12 tasks spanning diverse domains
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.