Multimodal · Benchmark profile

Massive Multi-discipline Multimodal Understanding Pro

A harder multimodal benchmark for frontier models that combines text with images, diagrams, charts, and academic visual reasoning tasks.

Reference2024Active34 models

Data verified 21 Jul 2026 · Methodology 1.6.0

Benchmark score on Massive Multi-discipline Multimodal Understanding Pro

Leaderboard · 34 models

GPT-5.4 Pro leads at 94%, followed by Gemini 3.1 Pro (83.9%) and Gemini 3.5 Flash (83.6%).

Display onlyMultimodal2024

#1Closed

GPT-5.4 Pro

OpenAI

gpt-5-4-pro

94%

Overall — · Context 1.05M tokens

#2Closed

Gemini 3.1 Pro

Google

gemini-3-1-pro

83.9%

Overall — · Context 1M tokens

#3Closed

Gemini 3.5 Flash

Google

gemini-3.5-flash

83.6%

Overall #11 · 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

OpenAIGoogleMoonshot AIMetaAlibaba CloudxAIMiniMax

Massive Multi-discipline Multimodal Understanding Pro leaderboard

20 ranked models · higher is better

View accessible chart data

Accessible data for Massive Multi-discipline Multimodal Understanding Pro leaderboard
Model	Rank	Provider	Score
GPT-5.4 Pro	#1	OpenAI	94%
Gemini 3.1 Pro	#2	Google	83.9%
Gemini 3.5 Flash	#3	Google	83.6%
GPT-5.6 Sol	#4	OpenAI	83%
Kimi K3	#5	Moonshot AI	81.6%
GPT-5.4	#6	OpenAI	81.2%
GPT-5.5	#7	OpenAI	81.2%
Gemini 3 Pro	#8	Google	81%
GPT-5.6 Terra	#9	OpenAI	80.7%
Muse Spark	#10	Meta	80.4%
GPT-5.2	#11	OpenAI	79.5%
Kimi K2.6	#12	Moonshot AI	79.4%
Qwen3.5 397B	#13	Alibaba Cloud	79%
Qwen3.7-Plus	#14	Alibaba Cloud	79%
Qwen3.6 Plus	#15	Alibaba Cloud	78.8%
Kimi K2.5	#16	Moonshot AI	78.5%
Kimi K2.5 (Reasoning)	#17	Moonshot AI	78.5%
GPT-5.6 Luna	#18	OpenAI	78.4%
Grok 4.3	#19	xAI	78.1%
MiniMax M3	#20	MiniMax	78.1%

Benchmark score table (34 models)

One best score per model · higher is better

Massive Multi-discipline Multimodal Understanding Pro leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	GPT-5.4 Pro gpt-5-4-pro	OpenAI	closed	Estimated reference	94%
#2	Gemini 3.1 Pro gemini-3-1-pro	Google	closed	Estimated reference	83.9%
#3	Gemini 3.5 Flash gemini-3.5-flash	Google	closed	Estimated reference	83.6%
#4	GPT-5.6 Sol gpt-5.6-sol	OpenAI	closed	Reference only	83%
#5	Kimi K3 kimi-k3	Moonshot AI	closed	Reference only	81.6%
#6	GPT-5.4 gpt-5.4	OpenAI	closed	Reference only	81.2%
#7	GPT-5.5 gpt-5.5	OpenAI	closed	Estimated reference	81.2%
#8	Gemini 3 Pro gemini-3-pro	Google	closed	Reference only	81%
#9	GPT-5.6 Terra gpt-5.6-terra	OpenAI	closed	Estimated reference	80.7%
#10	Muse Spark muse-spark	Meta	closed	Reference only	80.4%
#11	GPT-5.2 gpt-5.2	OpenAI	closed	Estimated reference	79.5%
#12	Kimi K2.6 kimi-k2.6	Moonshot AI	open	Estimated reference	79.4%
#13	Qwen3.5 397B qwen3.5-397b-a17b	Alibaba Cloud	open	Estimated reference	79%
#14	Qwen3.7-Plus qwen3.7-plus	Alibaba Cloud	—	Reference only	79%
#15	Qwen3.6 Plus qwen3-6-plus	Alibaba Cloud	closed	Reference only	78.8%
#16	Kimi K2.5 kimi-k2.5	Moonshot AI	—	Reference only	78.5%
#17	Kimi K2.5 (Reasoning) kimi-k2-5-reasoning	Moonshot AI	closed	Estimated reference	78.5%
#18	GPT-5.6 Luna gpt-5.6-luna	OpenAI	closed	Estimated reference	78.4%
#19	Grok 4.3 grok-4.3	xAI	closed	Reference only	78.1%
#20	MiniMax M3 MiniMax-M3	MiniMax	—	Reference only	78.1%
#21	MiMo-V2.5 mimo-v2.5	Xiaomi	open	Estimated reference	77.9%
#22	Claude Opus 4.6 claude-opus-4-6	Anthropic	closed	Reference only	77.3%
#23	Gemma 4 31B gemma-4-31b	Google	open	Reference only	76.9%
#24	GPT-5.4 mini gpt-5.4-mini	OpenAI	closed	Estimated reference	76.6%
#25	Qwen3.6 27B qwen3.6-27b	Alibaba Cloud	open	Estimated reference	75.8%
#26	Qwen3.6-35B-A3B qwen3-6-35b-a3b	Alibaba Cloud	open	Estimated reference	75.3%
#27	Grok 4.20 grok-4.20	xAI	closed	Estimated reference	75.2%
#28	Gemma 4 26B A4B gemma-4-26b-a4b	Google	open	Reference only	73.8%
#29	Inkling inkling	Thinking Machines Lab	open	Reference only	73.5%
#30	Interfaze Beta interfaze-beta	Interfaze	closed	Estimated reference	71.1%
#31	Claude Opus 4.5 claude-opus-4-5	Anthropic	closed	Reference only	70.6%
#32	Gemma 4 12B gemma-4-12b	Google	open	Estimated reference	69.1%
#33	GPT-5.4 nano gpt.5.4.nano	OpenAI	closed	Reference only	66.1%
#34	Command A+ command-a-plus	Cohere	open	Estimated reference	63%

The top of this snapshot is led by GPT-5.4 Pro at 94%; third place is 10.4 points behind. The top-10 spread is 13.6 points.

Compare top models

GPT-5.4 Pro vs Gemini 3.1 Pro Gemini 3.1 Pro vs Gemini 3.5 Flash Gemini 3.5 Flash vs GPT-5.6 Sol GPT-5.6 Sol vs Kimi K3

About Massive Multi-discipline Multimodal Understanding Pro

Definition and scoring

Organisation: MMMU-Pro authors
Category: Multimodal
Version: 2024
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

A harder multimodal benchmark for frontier models that combines text with images, diagrams, charts, and academic visual reasoning tasks. 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 Massive Multi-discipline Multimodal Understanding Pro measure?

A harder multimodal benchmark for frontier models that combines text with images, diagrams, charts, and academic visual reasoning tasks.

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

GPT-5.4 Pro by OpenAI currently leads with 94%.

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

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

MMMU

Rolling · 1 results · Not Weighted

MMMU-Pro

Rolling · 155 results · Weighted 4.2%

MathVista

Rolling · Not evaluated · Not Weighted

ChartQA

Rolling · Not evaluated · Not Weighted

DocVQA

Rolling · Not evaluated · Not Weighted

CharXiv

May 2026 · 53 results · Weighted 4.2%

Multimodal · Benchmark profile

Massive Multi-discipline Multimodal Understanding Pro

A harder multimodal benchmark for frontier models that combines text with images, diagrams, charts, and academic visual reasoning tasks.

Reference2024Active34 models

Data verified 21 Jul 2026 · Methodology 1.6.0

Benchmark score on Massive Multi-discipline Multimodal Understanding Pro

Leaderboard · 34 models

GPT-5.4 Pro leads at 94%, followed by Gemini 3.1 Pro (83.9%) and Gemini 3.5 Flash (83.6%).

Display onlyMultimodal2024

#1Closed

GPT-5.4 Pro

OpenAI

gpt-5-4-pro

94%

Overall — · Context 1.05M tokens

#2Closed

Gemini 3.1 Pro

Google

gemini-3-1-pro

83.9%

Overall — · Context 1M tokens

#3Closed

Gemini 3.5 Flash

Google

gemini-3.5-flash

83.6%

Overall #11 · 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

OpenAIGoogleMoonshot AIMetaAlibaba CloudxAIMiniMax

Massive Multi-discipline Multimodal Understanding Pro leaderboard

20 ranked models · higher is better

View accessible chart data

Accessible data for Massive Multi-discipline Multimodal Understanding Pro leaderboard
Model	Rank	Provider	Score
GPT-5.4 Pro	#1	OpenAI	94%
Gemini 3.1 Pro	#2	Google	83.9%
Gemini 3.5 Flash	#3	Google	83.6%
GPT-5.6 Sol	#4	OpenAI	83%
Kimi K3	#5	Moonshot AI	81.6%
GPT-5.4	#6	OpenAI	81.2%
GPT-5.5	#7	OpenAI	81.2%
Gemini 3 Pro	#8	Google	81%
GPT-5.6 Terra	#9	OpenAI	80.7%
Muse Spark	#10	Meta	80.4%
GPT-5.2	#11	OpenAI	79.5%
Kimi K2.6	#12	Moonshot AI	79.4%
Qwen3.5 397B	#13	Alibaba Cloud	79%
Qwen3.7-Plus	#14	Alibaba Cloud	79%
Qwen3.6 Plus	#15	Alibaba Cloud	78.8%
Kimi K2.5	#16	Moonshot AI	78.5%
Kimi K2.5 (Reasoning)	#17	Moonshot AI	78.5%
GPT-5.6 Luna	#18	OpenAI	78.4%
Grok 4.3	#19	xAI	78.1%
MiniMax M3	#20	MiniMax	78.1%

Benchmark score table (34 models)

One best score per model · higher is better

Massive Multi-discipline Multimodal Understanding Pro leaderboard ranked by score
Rank	Model	Provider	License	Evidence use	Score
#1	GPT-5.4 Pro gpt-5-4-pro	OpenAI	closed	Estimated reference	94%
#2	Gemini 3.1 Pro gemini-3-1-pro	Google	closed	Estimated reference	83.9%
#3	Gemini 3.5 Flash gemini-3.5-flash	Google	closed	Estimated reference	83.6%
#4	GPT-5.6 Sol gpt-5.6-sol	OpenAI	closed	Reference only	83%
#5	Kimi K3 kimi-k3	Moonshot AI	closed	Reference only	81.6%
#6	GPT-5.4 gpt-5.4	OpenAI	closed	Reference only	81.2%
#7	GPT-5.5 gpt-5.5	OpenAI	closed	Estimated reference	81.2%
#8	Gemini 3 Pro gemini-3-pro	Google	closed	Reference only	81%
#9	GPT-5.6 Terra gpt-5.6-terra	OpenAI	closed	Estimated reference	80.7%
#10	Muse Spark muse-spark	Meta	closed	Reference only	80.4%
#11	GPT-5.2 gpt-5.2	OpenAI	closed	Estimated reference	79.5%
#12	Kimi K2.6 kimi-k2.6	Moonshot AI	open	Estimated reference	79.4%
#13	Qwen3.5 397B qwen3.5-397b-a17b	Alibaba Cloud	open	Estimated reference	79%
#14	Qwen3.7-Plus qwen3.7-plus	Alibaba Cloud	—	Reference only	79%
#15	Qwen3.6 Plus qwen3-6-plus	Alibaba Cloud	closed	Reference only	78.8%
#16	Kimi K2.5 kimi-k2.5	Moonshot AI	—	Reference only	78.5%
#17	Kimi K2.5 (Reasoning) kimi-k2-5-reasoning	Moonshot AI	closed	Estimated reference	78.5%
#18	GPT-5.6 Luna gpt-5.6-luna	OpenAI	closed	Estimated reference	78.4%
#19	Grok 4.3 grok-4.3	xAI	closed	Reference only	78.1%
#20	MiniMax M3 MiniMax-M3	MiniMax	—	Reference only	78.1%
#21	MiMo-V2.5 mimo-v2.5	Xiaomi	open	Estimated reference	77.9%
#22	Claude Opus 4.6 claude-opus-4-6	Anthropic	closed	Reference only	77.3%
#23	Gemma 4 31B gemma-4-31b	Google	open	Reference only	76.9%
#24	GPT-5.4 mini gpt-5.4-mini	OpenAI	closed	Estimated reference	76.6%
#25	Qwen3.6 27B qwen3.6-27b	Alibaba Cloud	open	Estimated reference	75.8%
#26	Qwen3.6-35B-A3B qwen3-6-35b-a3b	Alibaba Cloud	open	Estimated reference	75.3%
#27	Grok 4.20 grok-4.20	xAI	closed	Estimated reference	75.2%
#28	Gemma 4 26B A4B gemma-4-26b-a4b	Google	open	Reference only	73.8%
#29	Inkling inkling	Thinking Machines Lab	open	Reference only	73.5%
#30	Interfaze Beta interfaze-beta	Interfaze	closed	Estimated reference	71.1%
#31	Claude Opus 4.5 claude-opus-4-5	Anthropic	closed	Reference only	70.6%
#32	Gemma 4 12B gemma-4-12b	Google	open	Estimated reference	69.1%
#33	GPT-5.4 nano gpt.5.4.nano	OpenAI	closed	Reference only	66.1%
#34	Command A+ command-a-plus	Cohere	open	Estimated reference	63%

The top of this snapshot is led by GPT-5.4 Pro at 94%; third place is 10.4 points behind. The top-10 spread is 13.6 points.

Compare top models

GPT-5.4 Pro vs Gemini 3.1 Pro Gemini 3.1 Pro vs Gemini 3.5 Flash Gemini 3.5 Flash vs GPT-5.6 Sol GPT-5.6 Sol vs Kimi K3

About Massive Multi-discipline Multimodal Understanding Pro

Definition and scoring

Organisation: MMMU-Pro authors
Category: Multimodal
Version: 2024
Direction: higher is better
Ranking use: Reference
Contamination risk: Unknown

Open benchmark source ↗

FAQ

Quick answers

What does Massive Multi-discipline Multimodal Understanding Pro measure?

A harder multimodal benchmark for frontier models that combines text with images, diagrams, charts, and academic visual reasoning tasks.

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

GPT-5.4 Pro by OpenAI currently leads with 94%.

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

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

MMMU

Rolling · 1 results · Not Weighted

MMMU-Pro

Rolling · 155 results · Weighted 4.2%

MathVista

Rolling · Not evaluated · Not Weighted

ChartQA

Rolling · Not evaluated · Not Weighted

DocVQA

Rolling · Not evaluated · Not Weighted

CharXiv

May 2026 · 53 results · Weighted 4.2%

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Massive Multi-discipline Multimodal Understanding Pro

Leaderboard · 34 models

GPT-5.4 Pro

Gemini 3.1 Pro

Gemini 3.5 Flash

See the field.

Massive Multi-discipline Multimodal Understanding Pro leaderboard

Crop Massive Multi-discipline Multimodal Understanding Pro leaderboard

Benchmark score table (34 models)

Crop Massive Multi-discipline Multimodal Understanding Pro benchmark table

Compare top models

Definition and scoring

Quick answers

What does Massive Multi-discipline Multimodal Understanding Pro measure?

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

Massive Multi-discipline Multimodal Understanding Pro

Leaderboard · 34 models

GPT-5.4 Pro

Gemini 3.1 Pro

Gemini 3.5 Flash

See the field.

Massive Multi-discipline Multimodal Understanding Pro leaderboard

Crop Massive Multi-discipline Multimodal Understanding Pro leaderboard

Benchmark score table (34 models)

Crop Massive Multi-discipline Multimodal Understanding Pro benchmark table

Compare top models

Definition and scoring

Quick answers

What does Massive Multi-discipline Multimodal Understanding Pro measure?

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

Leaderboard · 34 models

GPT-5.4 Pro

Gemini 3.1 Pro

Gemini 3.5 Flash

See the field.

Benchmark score table (34 models)

Compare top models

Definition and scoring

Quick answers

What does Massive Multi-discipline Multimodal Understanding Pro measure?

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

More Multimodal benchmarks

Leaderboard · 34 models

GPT-5.4 Pro

Gemini 3.1 Pro

Gemini 3.5 Flash

See the field.

Benchmark score table (34 models)

Compare top models

Definition and scoring

Quick answers

What does Massive Multi-discipline Multimodal Understanding Pro measure?

Which model scores highest on Massive Multi-discipline Multimodal Understanding Pro?

How many models are evaluated on Massive Multi-discipline Multimodal Understanding Pro?

More Multimodal benchmarks