Multimodal · Allen Institute for AI

Molmo Base on MMMU: score, rank and what it means

Molmo Base scores 62.4 on MMMU, placing it #405 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
62.4
0–100 scale
Rank
#405
of 600
Percentile
33th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
24.5
points

Score distribution

The chart shows the top 10 models on MMMU, with Molmo Base highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Molmo Base sits at #405 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 24.5 points. The median model in this index scores 70.0, which puts Molmo Base below the midpoint.

Allen Institute for AI models average 58.5 on this benchmark. Molmo Base is 3.9 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 65.1. Molmo Base is 2.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 62.4 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $2.02 per million input tokens, Molmo Base is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Kimi K2 8B Moonshot AI 8192 $1.86 64.7
Nemotron Nano Base NVIDIA 8192 $1.85 65.0

Other benchmarks for Molmo Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.5 411 32th
GPQA Diamond 59.9 406 32th
SWE-bench Verified 50.2 420 30th
HumanEval 69.9 396 34th
MATH-500 69.1 386 36th
AIME 2025 58.2 398 34th
LiveCodeBench 51.9 430 28th
IFEval 75.5 393 35th
TruthfulQA 71.4 391 35th
HellaSwag 77.6 406 32th
Arena Elo 1318.8 396 34th

FAQ

What score does Molmo Base get on MMMU?

Molmo Base scores 62.4 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Molmo Base rank on MMMU?

It ranks #405 of 600 models, in the 33rd percentile. The leader is GPT-5.2 Max at 86.9.

Is Molmo Base good at MMMU?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the MMMU score calculated?

MMMU is a multimodal benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Molmo Base cost?

Molmo Base costs $2.02 per million input tokens and $7.53 per million output tokens.

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