AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

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.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 29

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Nova 2 Pro0.777Not recordedNot recorded2025-12-02 · model_announcementLLM Stats
Nova 2 Lite0.766Not recordedNot recorded2025-12-02 · model_announcementLLM Stats
Nova 2 Omni0.755Not recordedNot recorded2025-12-02 · model_announcementLLM Stats
GPT-50.696Not recordedNot recorded2025-08-07 · model_announcementLLM Stats
Qwen3.5-397B-A17B0.676Not recordedNot recorded2026-02-16 · model_announcementLLM Stats
Nemotron 3 Ultra (550B A55B)0.638Not recordedNot recorded2026-06-04 · model_announcementLLM Stats
Step3-VL-10B0.626Not recordedNot recorded2026-01-15 · model_announcementLLM Stats
Qwen3.5-122B-A10B0.615Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3.5-27B0.608Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
o30.604Not recordedNot recorded2025-04-16 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.6Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Nemotron 3 Super (120B A12B)0.5523Not recordedNot recorded2026-03-11 · model_announcementLLM Stats
Qwen3.5-9B0.545Not recordedNot recorded2026-03-02 · model_announcementLLM Stats
Kimi K2-Instruct-09050.541Not recordedNot recorded2025-09-05 · model_announcementLLM Stats
Kimi K2 Instruct0.541Not recordedNot recorded2025-07-11 · model_announcementLLM Stats
MAI-Thinking-10.53Not recordedNot recorded2026-06-02 · model_announcementLLM Stats
Qwen3.5-4B0.49Not recordedNot recorded2026-03-02 · model_announcementLLM Stats
MiniMax M1 80K0.447Not recordedNot recorded2025-06-16 · model_announcementLLM Stats
MiniMax M1 40K0.447Not recordedNot recorded2025-06-16 · model_announcementLLM Stats
GPT-4.50.438Not recordedNot recorded2025-02-27 · model_announcementLLM Stats
o4-mini0.43Not recordedNot recorded2025-04-16 · model_announcementLLM Stats
GPT-4o0.403Not recordedNot recorded2024-08-06 · model_announcementLLM Stats
o3-mini0.399Not recordedNot recorded2025-01-30 · model_announcementLLM Stats
Nemotron 3 Nano (30B A3B)0.385Not recordedNot recorded2025-12-15 · model_announcementLLM Stats
GPT-4.10.383Not recordedNot recorded2025-04-14 · model_announcementLLM Stats
GPT-4.1 mini0.358Not recordedNot recorded2025-04-14 · model_announcementLLM Stats
Qwen3.5-2B0.337Not recordedNot recorded2026-03-02 · model_announcementLLM Stats
Qwen3.5-0.8B0.189Not recordedNot recorded2026-03-02 · model_announcementLLM Stats
GPT-4.1 nano0.15Not recordedNot recorded2025-04-14 · model_announcementLLM Stats