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Understand images or documents

What visual or document evidence needs interpretation?

PrivacyNon-sensitive inputsDeploymentHosted service allowedScaleOccasional to moderate volumeLatencyInteractive, not real-timeBudgetBalanced quality and costReliabilityHuman review for consequential output
Refine these assumptions in the Calibration Room

3 candidates. No automatic winner.

These are dated starting points under the disclosed defaults. Evaluate these approaches against your workload.

Quality & reliability

Gemini 3.1 Pro Preview

Inside: document media pipeline

LifecyclepreviewVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent

A preview candidate for complex multimodal interpretation across long inputs.

TradeoffPreview status requires regression checks and a current fallback.

Why?
  • supports vision
  • accepts image
  • fits quality-reliability
Go deeper

This approach joins the release gemini-3.1-pro-preview to the deployment offer google-gemini-3-1-pro-api. The recommendation is dated RS interpretation, not a provider ranking.

Technical details

Modalities: text, image, audio, video. Access: proprietary. Evidence class: rs-interpretation.

Evaluation plan

  1. Prepare varied images diagrams and documents.
  2. Score factual visual grounding.
  3. Track regressions and review effort.

Speed & cost

Mistral OCR 4.1

Inside: document media pipeline

LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent

A specialized route when document structure and OCR matter more than broad visual reasoning.

TradeoffSpecialized parsing may need a second model for interpretation.

Why?
  • supports vision
  • accepts image
  • fits speed-cost
Go deeper

This approach joins the release mistral-ocr-4.1 to the deployment offer mistral-ocr-4-1-api. The recommendation is dated RS interpretation, not a provider ranking.

Technical details

Modalities: image. Access: proprietary. Evidence class: rs-interpretation.

Evaluation plan

  1. Use the same document subset.
  2. Measure text structure and bounding accuracy.
  3. Evaluate the full two-stage pipeline.

Control & locality

Llama 4 Scout

Inside: document media pipeline

LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent

A self-hosted multimodal route for private visual material.

TradeoffLocal hardware and preprocessing determine usable resolution and throughput.

Why?
  • supports vision
  • accepts image
  • fits control-locality
Go deeper

This approach joins the release meta-llama/Llama-4-Scout-17B-16E-Original to the deployment offer meta-llama-4-scout-local. The recommendation is dated RS interpretation, not a provider ranking.

Technical details

Modalities: text, image. Access: open-weight. Evidence class: rs-interpretation.

Evaluation plan

  1. Run the same visual set locally.
  2. Compare grounding and omission errors.
  3. Measure preprocessing and hardware limits.
See what did not enter this shortlist

No additional approaches were evaluated for this job.