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Multimodal benchmarks

Research cut-off date: 2026-07-22. Status: Phase 2, not yet written. This file states the scope of the work, the arguments it owns, and the research required to complete it. It contains no findings, because none have been sourced. See the changelog for phase status.

Scope

Documents benchmarks over images, documents, charts, and video: expert-level multi-discipline reasoning, visual mathematics, document and chart question answering, and video understanding. Records the input resolution and frame sampling conditions, which change scores and are frequently unreported.

Benchmarks documented in this file

Each benchmark below is documented under the nine required headings listed in the next section. A benchmark is documented only after its construction methodology has been located and recorded in data/sources.csv.

  • MMMU
  • MMMU-Pro
  • MathVista
  • DocVQA
  • ChartQA
  • Video-MME

Required structure for each benchmark

Every benchmark answers all nine questions, in this order. The ninth is a judgement and is argued rather than asserted.

  1. What it measures
  2. Task format
  3. Scoring method
  4. Known limitations
  5. Contamination risk
  6. Tool permissions
  7. Sampling policy
  8. Human baseline comparability
  9. Suitability for procurement

Research checklist

  • Locate and register the construction paper or methodology page for every benchmark listed above, before any result from it is recorded.
  • Answer all nine required questions for each benchmark, citing the construction source for the first three.
  • Record image resolution, document rendering method, and video frame sampling for every result, or mark them unstated.
  • Establish which of these benchmarks predate the current model generation and state the contamination implication.
  • Record whether subtitles or transcripts were provided in video evaluations, since this changes the construct being measured.
  • Record every extracted result in data/benchmarks.csv with harness, sampling policy, tool permissions, evidence grade, and date.
  • Run python scripts/validate_tables.py --check-ranges --check-comparability.

Completion criteria

This file is complete when every listed benchmark answers all nine questions from a registered source, when no result appears here that is absent from data/benchmarks.csv, and when the quality-control checklist in the research methodology passes.