Knowledge · Benchmark profile

Graduate-Level Google-Proof Q&A

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google.

Reference2023Active70 models

Data verified 21 Jul 2026 · Methodology 1.6.0

Benchmark score on Graduate-Level Google-Proof Q&A

Leaderboard · 70 models

Sakana Fugu leads at 95.5%, followed by Sakana Fugu-Ultra (95.5%) and GPT-5.6 Sol (94.6%).

Display onlyKnowledge2023

#1Closed

Sakana Fugu

Sakana AI

sakana-fugu

95.5%

Overall — · Context 1M tokens

#2Closed

Sakana Fugu-Ultra

Sakana AI

sakana-fugu-ultra

95.5%

Overall — · Context 1M tokens

#3Closed

GPT-5.6 Sol

OpenAI

gpt-5.6-sol

94.6%

Overall #3 · Context 1.05M tokens

Visual analysis

See the field.

Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.

ViewModelsColours

Sakana AIOpenAIAnthropicMoonshot AIAlibaba CloudGoogleZ.AIDeepSeek

Graduate-Level Google-Proof Q&A leaderboard

20 ranked models · higher is better

View accessible chart data

Accessible data for Graduate-Level Google-Proof Q&A leaderboard
Model	Rank	Provider	Score
Sakana Fugu	#1	Sakana AI	95.5%
Sakana Fugu-Ultra	#2	Sakana AI	95.5%
GPT-5.6 Sol	#3	OpenAI	94.6%
Claude Opus 4.7 (Adaptive)	#4	Anthropic	94.2%
Claude Mythos 5	#5	Anthropic	94.1%
Claude Opus 4.8	#6	Anthropic	93.6%
GPT-5.5	#7	OpenAI	93.6%
Kimi K3	#8	Moonshot AI	93.5%
GPT-5.6 Terra	#9	OpenAI	92.9%
GPT-5.4	#10	OpenAI	92.8%
GPT-5.2	#11	OpenAI	92.4%
Qwen3.7-Max	#12	Alibaba Cloud	92.4%
GPT-5.6 Luna	#13	OpenAI	92.3%
Gemini 3.5 Flash	#14	Google	92.2%
Claude Opus 4.6	#15	Anthropic	91.3%
GLM-5.2	#16	Z.AI	91.2%
Kimi K2.6	#17	Moonshot AI	90.5%
Qwen3.6 Plus	#18	Alibaba Cloud	90.4%
Qwen3.7-Plus	#19	Alibaba Cloud	90.3%
DeepSeek V4 Pro (Max)	#20	DeepSeek	90.1%

Benchmark score table (70 models)

One best score per model · higher is better

Graduate-Level Google-Proof Q&A leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	Sakana Fugu sakana-fugu	Sakana AI	closed	Estimated reference	95.5%
#2	Sakana Fugu-Ultra sakana-fugu-ultra	Sakana AI	closed	Estimated reference	95.5%
#3	GPT-5.6 Sol gpt-5.6-sol	OpenAI	closed	Reference only	94.6%
#4	Claude Opus 4.7 (Adaptive) claude-opus-4-7-max	Anthropic	closed	Estimated reference	94.2%
#5	Claude Mythos 5 claude-mythos-5	Anthropic	closed	Reference only	94.1%
#6	Claude Opus 4.8 claude-opus-4-8	Anthropic	closed	Reference only	93.6%
#7	GPT-5.5 gpt-5.5	OpenAI	closed	Estimated reference	93.6%
#8	Kimi K3 kimi-k3	Moonshot AI	closed	Reference only	93.5%
#9	GPT-5.6 Terra gpt-5.6-terra	OpenAI	closed	Estimated reference	92.9%
#10	GPT-5.4 gpt-5.4	OpenAI	closed	Reference only	92.8%
#11	GPT-5.2 gpt-5.2	OpenAI	closed	Estimated reference	92.4%
#12	Qwen3.7-Max qwen3.7-max	Alibaba Cloud	—	Reference only	92.4%
#13	GPT-5.6 Luna gpt-5.6-luna	OpenAI	closed	Estimated reference	92.3%
#14	Gemini 3.5 Flash gemini-3.5-flash	Google	closed	Estimated reference	92.2%
#15	Claude Opus 4.6 claude-opus-4-6	Anthropic	closed	Reference only	91.3%
#16	GLM-5.2 glm-5-2	Z.AI	open	Estimated reference	91.2%
#17	Kimi K2.6 kimi-k2.6	Moonshot AI	open	Estimated reference	90.5%
#18	Qwen3.6 Plus qwen3-6-plus	Alibaba Cloud	closed	Reference only	90.4%
#19	Qwen3.7-Plus qwen3.7-plus	Alibaba Cloud	—	Reference only	90.3%
#20	DeepSeek V4 Pro (Max) deepseek-v4-pro-max	DeepSeek	open	Estimated reference	90.1%
#21	Grok 4.3 grok-4.3	xAI	closed	Reference only	90.1%
#22	Claude Sonnet 4.6 claude-sonnet-4-6	Anthropic	closed	Reference only	89.9%
#23	Interfaze Beta interfaze-beta	Interfaze	closed	Estimated reference	89.9%
#24	DeepSeek V4 Pro (High) deepseek-v4-pro-high	DeepSeek	open	Estimated reference	89.1%
#25	Qwen3.5 397B qwen3.5-397b-a17b	Alibaba Cloud	open	Estimated reference	88.4%
#26	DeepSeek V4 Flash (Max) deepseek-v4-flash-max	DeepSeek	open	Estimated reference	88.1%
#27	GPT-5.4 mini gpt-5.4-mini	OpenAI	closed	Estimated reference	88%
#28	Inkling inkling	Thinking Machines Lab	open	Reference only	87.9%
#29	Qwen3.6 27B qwen3.6-27b	Alibaba Cloud	open	Estimated reference	87.8%
#30	Kimi K2.5 kimi-k2.5	Moonshot AI	—	Reference only	87.6%
#31	Kimi K2.5 (Reasoning) kimi-k2-5-reasoning	Moonshot AI	closed	Estimated reference	87.6%
#32	DeepSeek V4 Flash (High) deepseek-v4-flash-high	DeepSeek	open	Estimated reference	87.4%
#33	Hy3 Preview hy3-preview	Tencent	open	Estimated reference	87.2%
#34	Claude Opus 4.5 claude-opus-4-5	Anthropic	closed	Reference only	87%
#35	Nemotron 3 Ultra nemotron-3-ultra-550b	NVIDIA	open	Estimated reference	87%
#36	Qwen3.5-122B-A10B qwen3-5-122b-a10b	Alibaba Cloud	open	Reference only	86.6%
#37	GLM-5 glm-5	Z.AI	open	Reference only	86%
#38	Qwen3.6-35B-A3B qwen3-6-35b-a3b	Alibaba Cloud	open	Estimated reference	86%
#39	GLM-4.7 glm-4.7	Z.AI	open	Reference only	85.7%
#40	Qwen3.5 27B qwen3.5-27b	Alibaba Cloud	open	Reference only	85.5%
#41	Gemma 4 31B gemma-4-31b	Google	open	Reference only	84.3%
#42	MAI-Thinking-1 mai-thinking-1	Microsoft	closed	Estimated reference	84.2%
#43	Qwen3.5-35B-A3B qwen3-5-35b-a3b	Alibaba Cloud	open	Reference only	84.2%
#44	MiMo-V2-Flash mimo-v2-flash	Xiaomi	open	Reference only	83.7%
#45	Claude Sonnet 4.5 claude-sonnet-4-5	Anthropic	closed	Estimated reference	83.4%
#46	Gemini 2.5 Pro gemini-2.5-pro	Google	closed	Reference only	83%
#47	GPT-5.4 nano gpt.5.4.nano	OpenAI	closed	Reference only	82.8%
#48	o1-pro o1-pro	OpenAI	closed	Estimated reference	79%
#49	Gemma 4 12B gemma-4-12b	Google	open	Estimated reference	78.8%
#50	Qwen3 235B 2507 qwen3-235b-2507	Alibaba Cloud	open	Estimated reference	77.5%
#51	o3-mini o3-mini	OpenAI	closed	Reference only	77.2%
#52	o1 o1	OpenAI	closed	Estimated reference	75.7%
#53	DeepSeek V4 Pro deepseek-v4-pro	DeepSeek	open	Reference only	72.9%
#54	Nemotron 3 Nano Omni 30B A3B nemotron-3-nano-omni-30b-a3b	NVIDIA	open	Estimated reference	72.2%
#55	DeepSeek V4 Flash deepseek-v4-flash	DeepSeek	open	Estimated reference	71.2%
#56	ZAYA1-8B zaya1-8b	Zyphra	open	Estimated reference	71%
#57	GPT-4.1 gpt-4-1	OpenAI	closed	Reference only	66.3%
#58	GPT-4.1 mini gpt-4-1-mini	OpenAI	closed	Estimated reference	64.2%
#59	Claude 3.5 Sonnet claude-3-5-sonnet	Anthropic	closed	Estimated reference	59.4%
#60	DeepSeek V3 deepseek-v3	DeepSeek	open	Reference only	59.1%
#61	Ling 2.6 Flash ling-2-6-flash	InclusionAI	open	Estimated reference	59%
#62	Gemma 4 E4B gemma-4-e4b	Google	open	Estimated reference	58.6%
#63	Mellum2-12B-A2.5B-Thinking mellum2-12b-a2-5b-thinking	JetBrains	open	Estimated reference	57.6%
#64	ZAYA1-74B-Preview zaya1-74b-preview	Zyphra	open	Estimated reference	57.3%
#65	GPT-4.1 nano gpt-4-1-nano	OpenAI	closed	Estimated reference	50.3%
#66	Gemma 4 E2B gemma-4-e2b	Google	open	Estimated reference	43.4%
#67	Soofi S 30B-A3B soofi-s-30b-a3b	Soofi Project	open	Estimated reference	43.4%
#68	Mellum2-12B-A2.5B-Instruct mellum2-12b-a2-5b-instruct	JetBrains	open	Estimated reference	40.9%
#69	LFM2.5-VL-450M lfm2-5-vl-450m	LiquidAI	open	Estimated reference	25.7%
#70	LFM2.5-230M lfm2-5-230m	LiquidAI	open	Estimated reference	25.4%

The top of this snapshot is led by Sakana Fugu at 95.5%; third place is 0.90 points behind. The top-10 spread is 2.7 points.

Compare top models

Sakana Fugu vs Sakana Fugu-Ultra Sakana Fugu-Ultra vs GPT-5.6 Sol GPT-5.6 Sol vs Claude Opus 4.7 (Adaptive)Claude Opus 4.7 (Adaptive) vs Claude Mythos 5

About Graduate-Level Google-Proof Q&A

Definition and scoring

Organisation: David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman
Category: Knowledge
Version: 2023
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.

Open benchmark source ↗

FAQ

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google.

Which model scores highest on Graduate-Level Google-Proof Q&A?

Sakana Fugu by Sakana AI currently leads with 95.5%.

How many models are evaluated on Graduate-Level Google-Proof Q&A?

70 models in the LuminaBench cohort have a qualifying score on this benchmark.

Artificial Analysis Openness Index

2026 · 10 results · Reference

Artificial Analysis MMLU-Pro

2026 · 4 results · Reference

Massive Multitask Language Understanding

2020 · 8 results · Reference

SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines

2025 · 19 results · Reference

Massive Multitask Language Understanding Professional

2024 · 42 results · Reference

AGIEval

2026 · 3 results · Reference

Knowledge · Benchmark profile

Graduate-Level Google-Proof Q&A

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google.

Reference2023Active70 models

Data verified 21 Jul 2026 · Methodology 1.6.0

Benchmark score on Graduate-Level Google-Proof Q&A

Leaderboard · 70 models

Sakana Fugu leads at 95.5%, followed by Sakana Fugu-Ultra (95.5%) and GPT-5.6 Sol (94.6%).

Display onlyKnowledge2023

#1Closed

Sakana Fugu

Sakana AI

sakana-fugu

95.5%

Overall — · Context 1M tokens

#2Closed

Sakana Fugu-Ultra

Sakana AI

sakana-fugu-ultra

95.5%

Overall — · Context 1M tokens

#3Closed

GPT-5.6 Sol

OpenAI

gpt-5.6-sol

94.6%

Overall #3 · Context 1.05M tokens

Visual analysis

See the field.

Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.

ViewModelsColours

Sakana AIOpenAIAnthropicMoonshot AIAlibaba CloudGoogleZ.AIDeepSeek

Graduate-Level Google-Proof Q&A leaderboard

20 ranked models · higher is better

View accessible chart data

Accessible data for Graduate-Level Google-Proof Q&A leaderboard
Model	Rank	Provider	Score
Sakana Fugu	#1	Sakana AI	95.5%
Sakana Fugu-Ultra	#2	Sakana AI	95.5%
GPT-5.6 Sol	#3	OpenAI	94.6%
Claude Opus 4.7 (Adaptive)	#4	Anthropic	94.2%
Claude Mythos 5	#5	Anthropic	94.1%
Claude Opus 4.8	#6	Anthropic	93.6%
GPT-5.5	#7	OpenAI	93.6%
Kimi K3	#8	Moonshot AI	93.5%
GPT-5.6 Terra	#9	OpenAI	92.9%
GPT-5.4	#10	OpenAI	92.8%
GPT-5.2	#11	OpenAI	92.4%
Qwen3.7-Max	#12	Alibaba Cloud	92.4%
GPT-5.6 Luna	#13	OpenAI	92.3%
Gemini 3.5 Flash	#14	Google	92.2%
Claude Opus 4.6	#15	Anthropic	91.3%
GLM-5.2	#16	Z.AI	91.2%
Kimi K2.6	#17	Moonshot AI	90.5%
Qwen3.6 Plus	#18	Alibaba Cloud	90.4%
Qwen3.7-Plus	#19	Alibaba Cloud	90.3%
DeepSeek V4 Pro (Max)	#20	DeepSeek	90.1%

Benchmark score table (70 models)

One best score per model · higher is better

Graduate-Level Google-Proof Q&A leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	Sakana Fugu sakana-fugu	Sakana AI	closed	Estimated reference	95.5%
#2	Sakana Fugu-Ultra sakana-fugu-ultra	Sakana AI	closed	Estimated reference	95.5%
#3	GPT-5.6 Sol gpt-5.6-sol	OpenAI	closed	Reference only	94.6%
#4	Claude Opus 4.7 (Adaptive) claude-opus-4-7-max	Anthropic	closed	Estimated reference	94.2%
#5	Claude Mythos 5 claude-mythos-5	Anthropic	closed	Reference only	94.1%
#6	Claude Opus 4.8 claude-opus-4-8	Anthropic	closed	Reference only	93.6%
#7	GPT-5.5 gpt-5.5	OpenAI	closed	Estimated reference	93.6%
#8	Kimi K3 kimi-k3	Moonshot AI	closed	Reference only	93.5%
#9	GPT-5.6 Terra gpt-5.6-terra	OpenAI	closed	Estimated reference	92.9%
#10	GPT-5.4 gpt-5.4	OpenAI	closed	Reference only	92.8%
#11	GPT-5.2 gpt-5.2	OpenAI	closed	Estimated reference	92.4%
#12	Qwen3.7-Max qwen3.7-max	Alibaba Cloud	—	Reference only	92.4%
#13	GPT-5.6 Luna gpt-5.6-luna	OpenAI	closed	Estimated reference	92.3%
#14	Gemini 3.5 Flash gemini-3.5-flash	Google	closed	Estimated reference	92.2%
#15	Claude Opus 4.6 claude-opus-4-6	Anthropic	closed	Reference only	91.3%
#16	GLM-5.2 glm-5-2	Z.AI	open	Estimated reference	91.2%
#17	Kimi K2.6 kimi-k2.6	Moonshot AI	open	Estimated reference	90.5%
#18	Qwen3.6 Plus qwen3-6-plus	Alibaba Cloud	closed	Reference only	90.4%
#19	Qwen3.7-Plus qwen3.7-plus	Alibaba Cloud	—	Reference only	90.3%
#20	DeepSeek V4 Pro (Max) deepseek-v4-pro-max	DeepSeek	open	Estimated reference	90.1%
#21	Grok 4.3 grok-4.3	xAI	closed	Reference only	90.1%
#22	Claude Sonnet 4.6 claude-sonnet-4-6	Anthropic	closed	Reference only	89.9%
#23	Interfaze Beta interfaze-beta	Interfaze	closed	Estimated reference	89.9%
#24	DeepSeek V4 Pro (High) deepseek-v4-pro-high	DeepSeek	open	Estimated reference	89.1%
#25	Qwen3.5 397B qwen3.5-397b-a17b	Alibaba Cloud	open	Estimated reference	88.4%
#26	DeepSeek V4 Flash (Max) deepseek-v4-flash-max	DeepSeek	open	Estimated reference	88.1%
#27	GPT-5.4 mini gpt-5.4-mini	OpenAI	closed	Estimated reference	88%
#28	Inkling inkling	Thinking Machines Lab	open	Reference only	87.9%
#29	Qwen3.6 27B qwen3.6-27b	Alibaba Cloud	open	Estimated reference	87.8%
#30	Kimi K2.5 kimi-k2.5	Moonshot AI	—	Reference only	87.6%
#31	Kimi K2.5 (Reasoning) kimi-k2-5-reasoning	Moonshot AI	closed	Estimated reference	87.6%
#32	DeepSeek V4 Flash (High) deepseek-v4-flash-high	DeepSeek	open	Estimated reference	87.4%
#33	Hy3 Preview hy3-preview	Tencent	open	Estimated reference	87.2%
#34	Claude Opus 4.5 claude-opus-4-5	Anthropic	closed	Reference only	87%
#35	Nemotron 3 Ultra nemotron-3-ultra-550b	NVIDIA	open	Estimated reference	87%
#36	Qwen3.5-122B-A10B qwen3-5-122b-a10b	Alibaba Cloud	open	Reference only	86.6%
#37	GLM-5 glm-5	Z.AI	open	Reference only	86%
#38	Qwen3.6-35B-A3B qwen3-6-35b-a3b	Alibaba Cloud	open	Estimated reference	86%
#39	GLM-4.7 glm-4.7	Z.AI	open	Reference only	85.7%
#40	Qwen3.5 27B qwen3.5-27b	Alibaba Cloud	open	Reference only	85.5%
#41	Gemma 4 31B gemma-4-31b	Google	open	Reference only	84.3%
#42	MAI-Thinking-1 mai-thinking-1	Microsoft	closed	Estimated reference	84.2%
#43	Qwen3.5-35B-A3B qwen3-5-35b-a3b	Alibaba Cloud	open	Reference only	84.2%
#44	MiMo-V2-Flash mimo-v2-flash	Xiaomi	open	Reference only	83.7%
#45	Claude Sonnet 4.5 claude-sonnet-4-5	Anthropic	closed	Estimated reference	83.4%
#46	Gemini 2.5 Pro gemini-2.5-pro	Google	closed	Reference only	83%
#47	GPT-5.4 nano gpt.5.4.nano	OpenAI	closed	Reference only	82.8%
#48	o1-pro o1-pro	OpenAI	closed	Estimated reference	79%
#49	Gemma 4 12B gemma-4-12b	Google	open	Estimated reference	78.8%
#50	Qwen3 235B 2507 qwen3-235b-2507	Alibaba Cloud	open	Estimated reference	77.5%
#51	o3-mini o3-mini	OpenAI	closed	Reference only	77.2%
#52	o1 o1	OpenAI	closed	Estimated reference	75.7%
#53	DeepSeek V4 Pro deepseek-v4-pro	DeepSeek	open	Reference only	72.9%
#54	Nemotron 3 Nano Omni 30B A3B nemotron-3-nano-omni-30b-a3b	NVIDIA	open	Estimated reference	72.2%
#55	DeepSeek V4 Flash deepseek-v4-flash	DeepSeek	open	Estimated reference	71.2%
#56	ZAYA1-8B zaya1-8b	Zyphra	open	Estimated reference	71%
#57	GPT-4.1 gpt-4-1	OpenAI	closed	Reference only	66.3%
#58	GPT-4.1 mini gpt-4-1-mini	OpenAI	closed	Estimated reference	64.2%
#59	Claude 3.5 Sonnet claude-3-5-sonnet	Anthropic	closed	Estimated reference	59.4%
#60	DeepSeek V3 deepseek-v3	DeepSeek	open	Reference only	59.1%
#61	Ling 2.6 Flash ling-2-6-flash	InclusionAI	open	Estimated reference	59%
#62	Gemma 4 E4B gemma-4-e4b	Google	open	Estimated reference	58.6%
#63	Mellum2-12B-A2.5B-Thinking mellum2-12b-a2-5b-thinking	JetBrains	open	Estimated reference	57.6%
#64	ZAYA1-74B-Preview zaya1-74b-preview	Zyphra	open	Estimated reference	57.3%
#65	GPT-4.1 nano gpt-4-1-nano	OpenAI	closed	Estimated reference	50.3%
#66	Gemma 4 E2B gemma-4-e2b	Google	open	Estimated reference	43.4%
#67	Soofi S 30B-A3B soofi-s-30b-a3b	Soofi Project	open	Estimated reference	43.4%
#68	Mellum2-12B-A2.5B-Instruct mellum2-12b-a2-5b-instruct	JetBrains	open	Estimated reference	40.9%
#69	LFM2.5-VL-450M lfm2-5-vl-450m	LiquidAI	open	Estimated reference	25.7%
#70	LFM2.5-230M lfm2-5-230m	LiquidAI	open	Estimated reference	25.4%

The top of this snapshot is led by Sakana Fugu at 95.5%; third place is 0.90 points behind. The top-10 spread is 2.7 points.

Compare top models

Sakana Fugu vs Sakana Fugu-Ultra Sakana Fugu-Ultra vs GPT-5.6 Sol GPT-5.6 Sol vs Claude Opus 4.7 (Adaptive)Claude Opus 4.7 (Adaptive) vs Claude Mythos 5

About Graduate-Level Google-Proof Q&A

Definition and scoring

Organisation: David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman
Category: Knowledge
Version: 2023
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

Open benchmark source ↗

FAQ

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Designed to be difficult even for skilled non-experts with access to Google.

Which model scores highest on Graduate-Level Google-Proof Q&A?

Sakana Fugu by Sakana AI currently leads with 95.5%.

How many models are evaluated on Graduate-Level Google-Proof Q&A?

70 models in the LuminaBench cohort have a qualifying score on this benchmark.

Artificial Analysis Openness Index

2026 · 10 results · Reference

Artificial Analysis MMLU-Pro

2026 · 4 results · Reference

Massive Multitask Language Understanding

2020 · 8 results · Reference

SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines

2025 · 19 results · Reference

Massive Multitask Language Understanding Professional

2024 · 42 results · Reference

AGIEval

2026 · 3 results · Reference

Search LUMINA BENCH

Navigation

Graduate-Level Google-Proof Q&A

Leaderboard · 70 models

Sakana Fugu

Sakana Fugu-Ultra

GPT-5.6 Sol

See the field.

Graduate-Level Google-Proof Q&A leaderboard

Crop Graduate-Level Google-Proof Q&A leaderboard

Benchmark score table (70 models)

Crop Graduate-Level Google-Proof Q&A benchmark table

Compare top models

Definition and scoring

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

Which model scores highest on Graduate-Level Google-Proof Q&A?

How many models are evaluated on Graduate-Level Google-Proof Q&A?

Graduate-Level Google-Proof Q&A

Leaderboard · 70 models

Sakana Fugu

Sakana Fugu-Ultra

GPT-5.6 Sol

See the field.

Graduate-Level Google-Proof Q&A leaderboard

Crop Graduate-Level Google-Proof Q&A leaderboard

Benchmark score table (70 models)

Crop Graduate-Level Google-Proof Q&A benchmark table

Compare top models

Definition and scoring

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

Which model scores highest on Graduate-Level Google-Proof Q&A?

How many models are evaluated on Graduate-Level Google-Proof Q&A?

Leaderboard · 70 models

Sakana Fugu

Sakana Fugu-Ultra

GPT-5.6 Sol

See the field.

Benchmark score table (70 models)

Compare top models

Definition and scoring

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

Which model scores highest on Graduate-Level Google-Proof Q&A?

How many models are evaluated on Graduate-Level Google-Proof Q&A?

More Knowledge benchmarks

Leaderboard · 70 models

Sakana Fugu

Sakana Fugu-Ultra

GPT-5.6 Sol

See the field.

Benchmark score table (70 models)

Compare top models

Definition and scoring

Quick answers

What does Graduate-Level Google-Proof Q&A measure?

Which model scores highest on Graduate-Level Google-Proof Q&A?

How many models are evaluated on Graduate-Level Google-Proof Q&A?

More Knowledge benchmarks