Commonsense · Allen Institute for AI

Molmo 1.5B on HellaSwag: score, rank and what it means

Molmo 1.5B scores 63.6 on HellaSwag, placing it #591 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
63.6
0–100 scale
Rank
#591
of 600
Percentile
2th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
32.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Molmo 1.5B 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 1.5B sits at #591 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 32.5 points. The median model in this index scores 83.6, which puts Molmo 1.5B below the midpoint.

Allen Institute for AI models average 74.6 on this benchmark. Molmo 1.5B is 11.0 points below that provider line, so it is a weaker result than the average Allen Institute for AI model.

Among small open-weight models, the average is 70.2. Molmo 1.5B is 6.6 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 63.6 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 $0.21 per million input tokens, Molmo 1.5B 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
Zephyr 7B Hugging Face 32768 $0.23 42.5
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
Arctic 1.5B Snowflake 32768 $0.15 43.2
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
Pythia 7B EleutherAI 8192 $0.10 40.7

Other benchmarks for Molmo 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.8 590 2th
GPQA Diamond 39.8 586 2th
SWE-bench Verified 28.4 584 3th
HumanEval 47.3 587 2th
MATH-500 38.8 594 1th
AIME 2025 27.6 588 2th
LiveCodeBench 25.5 593 1th
IFEval 57.8 583 3th
TruthfulQA 48.4 595 1th
MMMU 43.1 586 2th
Arena Elo 1139.5 587 2th

FAQ

What score does Molmo 1.5B get on HellaSwag?

Molmo 1.5B scores 63.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Molmo 1.5B rank on HellaSwag?

It ranks #591 of 600 models, in the 2nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Molmo 1.5B 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 1.5B cost?

Molmo 1.5B costs $0.21 per million input tokens and $0.93 per million output tokens.

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