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gdp.pdf
Can the model extract and reason over information in images or documents?
- Domain
- Vision
- Ranked models
- 13
- Reported values
- 21
- Reports
- 4 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-5.6 SolOpenAI | reportedcost n/a2 values · Sep 2 · source | 40.0% |
| 2 | Claude Opus 5Anthropic | reportedcost n/a1 value · Sep 2 · source | 37.0% |
| 3 | Gemini 3.8 FlashGoogle | reportedcost n/a1 value · Sep 2 · source | 35.0% |
| 4 | Gemini 3.7 FlashGoogle | reportedcost n/a2 values · Sep 2 · source | 34.0% |
| 5 | Claude Fable 5Anthropic | reportedcost n/a1 value · Jul 9 · source | 29.8% |
| 6 | GPT-5.6 TerraOpenAI | reportedcost n/a3 values · Sep 2 · source | 29.0% |
| 7 | Claude Sonnet 5Anthropic | reportedcost n/a2 values · Sep 2 · source | 28.0% |
| 8 | GPT-5.5OpenAI | reportedcost n/a2 values · Jul 9 · source | 26.0% |
| 9 | GPT-5.6 LunaOpenAI | reportedcost n/a1 value · Jul 9 · source | 22.7% |
| 10 | Claude Opus 4.8Anthropic | reportedcost n/a2 values · Jul 9 · source | 22.5% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
Definition and comparison boundarypublic methodology
Can the model extract and reason over information in images or documents?
Visual perception and multimodal reasoning under the reported protocol. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
No tools. Gemini and Claude Sonnet 5 cells are Google-computed; GPT-5.6 Terra and Muse Spark 1.2 come from the official public leaderboard. Expert PDF document comprehension; the model card labels this metric All pass rate.
Method / source ↗