Commonsense · Allen Institute for AI

Molmo 8B on HellaSwag: score, rank and what it means

Molmo 8B scores 69.1 on HellaSwag, placing it #545 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
69.1
0–100 scale
Rank
#545
of 600
Percentile
9th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
27.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Molmo 8B 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 8B sits at #545 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 27.0 points. The median model in this index scores 83.6, which puts Molmo 8B below the midpoint.

Allen Institute for AI models average 74.6 on this benchmark. Molmo 8B is 5.5 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 8B is 1.1 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 69.1 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 $0.44 per million input tokens, Molmo 8B 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
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
DeepSeek-Coder 1.5B DeepSeek 16384 $0.58 51.0
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
Phi-3.5 7B Microsoft 4096 $0.50 50.5
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5

Other benchmarks for Molmo 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 55.7 569 5th
GPQA Diamond 47.9 540 10th
SWE-bench Verified 33.6 567 6th
HumanEval 54.0 549 9th
MATH-500 49.2 560 7th
AIME 2025 35.5 564 6th
LiveCodeBench 35.6 568 5th
IFEval 60.2 572 5th
TruthfulQA 58.2 545 9th
MMMU 50.4 549 9th
Arena Elo 1186.2 568 5th

FAQ

What score does Molmo 8B get on HellaSwag?

Molmo 8B scores 69.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Molmo 8B rank on HellaSwag?

It ranks #545 of 600 models, in the 9th percentile. The leader is GPT-5.2 Max at 96.1.

Is Molmo 8B 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 8B cost?

Molmo 8B costs $0.44 per million input tokens and $2.29 per million output tokens.

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