Commonsense · Allen Institute for AI

Molmo 7B on HellaSwag: score, rank and what it means

Molmo 7B scores 65.3 on HellaSwag, placing it #580 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
65.3
0–100 scale
Rank
#580
of 600
Percentile
3th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
30.8
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Molmo 7B 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 7B sits at #580 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 30.8 points. The median model in this index scores 83.6, which puts Molmo 7B below the midpoint.

Allen Institute for AI models average 74.6 on this benchmark. Molmo 7B is 9.3 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 7B is 4.9 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 65.3 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 $0.42 per million input tokens, Molmo 7B 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
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Llama 3 Lambda 1.5B Lambda 16384 $0.46 48.4
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3 Hyperbolic 1.5B Hyperbolic 32768 $0.45 48.4
StableLM 2 7B Stability AI 8192 $0.28 44.3

Other benchmarks for Molmo 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.4 557 7th
GPQA Diamond 43.4 575 4th
SWE-bench Verified 32.3 574 4th
HumanEval 51.2 564 6th
MATH-500 50.0 557 7th
AIME 2025 37.1 555 8th
LiveCodeBench 37.9 550 8th
IFEval 61.3 562 6th
TruthfulQA 56.1 565 6th
MMMU 50.2 552 8th
Arena Elo 1183.4 572 5th

FAQ

What score does Molmo 7B get on HellaSwag?

Molmo 7B scores 65.3 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Molmo 7B rank on HellaSwag?

It ranks #580 of 600 models, in the 3rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Molmo 7B 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 7B cost?

Molmo 7B costs $0.42 per million input tokens and $2.22 per million output tokens.

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