AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

VideoMME w/o sub.

Video-MME is a comprehensive evaluation benchmark for multi-modal large language models in video analysis. It features 900 videos across 6 primary visual domains with 30 subfields, ranging from 11 seconds to 1 hour in duration, with 2,700 question-answer pairs. The benchmark evaluates MLLMs' capabilities in processing sequential visual data and multi-modal content including video frames, subtitles, and audio.

Evaluation context and evidence

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

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 10

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

ModelValueUnitProtocolReported date and basisSource
Qwen3.5-122B-A10B0.839Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3.5-27B0.828Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3.6-35B-A3B0.825Not recordedNot recorded2026-04-16 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.825Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3 VL 235B A22B Instruct0.792Not recordedNot recorded2025-09-22 · model_announcementLLM Stats
Qwen3 VL 235B A22B Thinking0.79Not recordedNot recorded2025-09-22 · model_announcementLLM Stats
Qwen3 VL 32B Thinking0.773Not recordedNot recorded2025-09-22 · model_announcementLLM Stats
Qwen2.5 VL 72B Instruct0.733Not recordedNot recorded2025-01-26 · model_announcementLLM Stats
Qwen2.5 VL 32B Instruct0.705Not recordedNot recorded2025-02-28 · model_announcementLLM Stats
Qwen2.5 VL 7B Instruct0.651Not recordedNot recorded2025-01-26 · model_announcementLLM Stats