reasoning benchmark
Multi-Challenge
MultiChallenge is a realistic multi-turn conversation evaluation benchmark that challenges frontier LLMs across four key categories: instruction retention (maintaining instructions throughout conversations), inference memory (recalling and connecting details from previous turns), reliable versioned editing (adapting to evolving instructions during collaborative editing), and self-coherence (avoiding contradictions in responses). The benchmark evaluates models on sustained, contextually complex dialogues across diverse topics including travel planning, technical documentation, and professional communication.
Updated Aug 11, 2026
Models29
Model coverage29
MetricScore
EvidenceC
Multi-Challenge Ranking
Higher score ranks better on this benchmark.
Multi-Challenge Score Distribution
A closer view of the leading scores on this benchmark.
Multi-Challenge Highlights
The leading models and scores on this benchmark.
What is Multi-Challenge?
What Multi-Challenge measures and how its scores work.
MultiChallenge is a realistic multi-turn conversation evaluation benchmark that challenges frontier LLMs across four key categories: instruction retention (maintaining instructions throughout conversations), inference memory (recalling and connecting details from previous turns), reliable versioned editing (adapting to evolving instructions during collaborative editing), and self-coherence (avoiding contradictions in responses). The benchmark evaluates models on sustained, contextually complex dialogues across diverse topics including travel planning, technical documentation, and professional communication.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.
- Family
- Multi-Challenge
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- multichallenge|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Multi-Challenge.
Which model scores highest on Multi-Challenge?
Nova 2 Pro is currently ranked first with 77.7%.
What does Multi-Challenge measure?
MultiChallenge is a realistic multi-turn conversation evaluation benchmark that challenges frontier LLMs across four key categories: instruction retention (maintaining instructions throughout conversations), inference memory (recalling and connecting details from previous turns), reliable versioned editing (adapting to evolving instructions during collaborative editing), and self-coherence (avoiding contradictions in responses). The benchmark evaluates models on sustained, contextually complex dialogues across diverse topics including travel planning, technical documentation, and professional communication.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
29 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.