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activeVision

GDP.pdf

Metric: Accuracy (higher is better)Introduced: 2026

Visual document comprehension benchmark using economic and financial PDF charts and figures without tools.

Models ranked

4

tracked on this benchmark

Score band

81.6 – 24.9

best → lowest tracked

Snapshot trend

+6.65

Jun 9 → Aug 13 · 1 models

Leaderboard

Tracked models ranked by Accuracy (higher is better).

Compare candidates
#Model variant and provenanceScore
1
Claude Sonnet 5
Version: GDP.pdf with Python tools and image cropping tool; internal harness, Opus 4.7 judge, mean criteria pass rate averaged over 5 runsHarness: Not recordedEvaluator: Not recordedObserved: Jun 30, 2026Confidence: Not recordedSource
81.6
2
Gemini 3.7 Flash
Version: GDP.pdf; Gemini self-computedHarness: Not recordedEvaluator: Not recordedObserved: Aug 13, 2026Confidence: Not recordedSource
34.0
3
Claude Fable 5
Version: GDP.pdf vision, no toolsHarness: Not recordedEvaluator: Not recordedObserved: Jun 9, 2026Confidence: Not recordedSource

Notes: DAT-6106: Unstarred in Anthropic's shared Fable 5/Mythos 5 launch table, so this is a Claude Fable 5 score.

29.8
4
GPT-5.5
Version: GDP.pdf vision, no toolsHarness: Not recordedEvaluator: Not recordedObserved: Jun 9, 2026Confidence: Not recordedSource

Notes: DAT-6106: GPT-5.5 score from Anthropic's Fable 5 comparison table.

24.9

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Related benchmarks

Last reviewed: Jun 15, 2026

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