Commonsense · Allen Institute for AI

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

Molmo Base scores 77.6 on HellaSwag, placing it #406 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
77.6
0–100 scale
Rank
#406
of 600
Percentile
32th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
18.5
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Molmo Base sits at #406 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 18.5 points. The median model in this index scores 83.6, which puts Molmo Base below the midpoint.

Allen Institute for AI models average 74.6 on this benchmark. Molmo Base is 3.0 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 80.2. Molmo Base is 2.6 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 77.6 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano NVIDIA 8192 $2.24 66.6
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Reka Flash Mini Reka AI 16384 $5.77 65.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Fusion Mini OpenRouter 4096 $4.89 63.3
StableLM 2 Instruct Stability AI 16384 $1.93 65.2

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
MMMU 62.4 405 33th
Arena Elo 1318.8 396 34th

FAQ

What score does Molmo Base get on HellaSwag?

Molmo Base scores 77.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Molmo Base rank on HellaSwag?

It ranks #406 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Molmo Base good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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