Enter opens the highlighted result. Esc closes.

GDP.pdf leaderboard

As of November 14, 2026, among the results listed here, Sakana Fugu Ultra v2 has the highest reported GDP.pdf score, 34.3%, published by Sakana, ahead of Meta Muse Wonder at 30.8%. 9 models have a GDP.pdf result in our records.

Scores as the model makers published them, not re-run by us; each row links to its announcement.

Best reported score

34.3%

Sakana Fugu Ultra v2

Reported by Sakana, June 24, 2026

Runner-up

30.8%

Meta Muse Wonder

Reported by Meta, October 12, 2026 · max

9 models ranked · 5 makers

Reported GDP.pdf scores

GDP.pdf scores reported by model makers
Rank Model Score Setting Reported by Date
1 Fugu Ultra v2 34.3% Not published Sakana June 24, 2026 (model release) · read from the maker's chart
2 Muse Wonder 30.8% max Meta October 12, 2026 (model release)
3 GPT-5.6 Sol 30.7% Not published OpenAI August 7, 2025 (model release)
4 GPT-5.5 26.0% Not published OpenAI August 7, 2025 (model release)
4 Fugu Max 26.0% Not published Sakana June 24, 2026 (model release) · read from the maker's chart
6 T Inkling 2 Small 25.2% Not published Thinking Machines November 9, 2026 (model release)
7 GPT-5.6 Terra 24.7% Not published OpenAI August 7, 2025 (model release)
8 GPT-5.6 Luna 22.7% Not published OpenAI August 7, 2025 (model release)
9 Step 5 Preview 14.8% High StepFun October 8, 2026 (model release)

How much to trust these numbers

Source
Reported by the model makers themselves. Not re-run by LLMBenchmark or anyone independent.
Settings
Settings differ between makers. Check the Setting column before comparing two scores.
Spread
34.3% to 14.8% across 9 models.
Freshness
Newest result published November 9, 2026; oldest August 7, 2025.
Charts
Some values were read from charts in the announcements. Two independent readings had to match exactly.

What GDP.pdf measures

GDP.pdf asks models to reason over professional PDFs using real-world prompts; the search results do not specify what its numerical score means. Source: GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents