BenchAtlas

Benchmarks / Multimodal

MMMU

Massive multi-discipline multimodal understanding benchmark.

maintainer unknown · 82 observations on record

Versions

1 version
VersionTasks
MMMU current
mmmu

Current leaderboard

MMMU · Accuracy · top 25 of 82 systems
8486889092
Claude Fable 5
89.3
GPT 5.6 Sol
88.8
Gemini 3.5 Flash
88.3
GPT 5.5 (2026-04-22)
88.3
Gemini 3.1 Pro Preview
88.2
Gemini 3 Flash Preview
87.6
GPT 5.4 (2026-03-05)
87.5
Gemini 3 Pro Preview
87.5
Muse Spark
87.4
GPT 5.2 (2025-12-11)
86.7
#SystemAccuracy %
1Claude Fable 5max effort
Anthropic
89.3%
2GPT 5.6 Solmax effort
OpenAI
88.8%
3Gemini 3.5 Flashhigh effort
Google DeepMind
88.3%
4GPT 5.5 (2026-04-22)xhigh effort
OpenAI
88.3%
5Gemini 3.1 Pro Previewhigh effort
Google DeepMind
88.2%
6Gemini 3 Flash Previewhigh effort
Google DeepMind
87.6%
7GPT 5.4 (2026-03-05)xhigh effort
OpenAI
87.5%
8Gemini 3 Pro Previewhigh effort
Google DeepMind
87.5%
9Muse Spark
Meta AI
87.4%
10GPT 5.2 (2025-12-11)xhigh effort
OpenAI
86.7%
11Claude Opus 4.8max effort
Anthropic
86.6%
12Muse Spark 1.1xhigh effort
Meta AI
86.6%
13GPT 5.6 Terraxhigh effort
OpenAI
86.5%
14Kimi K2 6
Moonshot AI
86.3%
15Claude Opus 4.7max effort
Anthropic
85.5%
16GPT 5.6 Lunamax effort
OpenAI
85.0%
17Kimi K2 5thinking
Moonshot AI
84.3%
18Qwen3 6 Plus
Alibaba
84.2%
19Claude Opus 4.6max effort
Anthropic
83.9%
20Claude Sonnet 4.6max effort
Anthropic
83.6%
21Grok 4.20 0309 Reasoning
xAI
83.5%
22GPT 5.1 (2025-11-13)high effort
OpenAI
83.2%
23Grok 4.3
xAI
83.1%
24Claude Sonnet 5max effort
Anthropic
83.0%
25Claude Opus 4.5 20251101high effort
Anthropic
82.9%

One row per evaluated system — reasoning-effort variants rank separately.