Preference · Allen Institute for AI

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

Molmo 1.5B scores 1139.5 on Arena Elo, placing it #587 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1139.5
0–100 scale
Rank
#587
of 600
Percentile
2th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
362.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Molmo 1.5B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Molmo 1.5B sits at #587 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 362.4 points. The median model in this index scores 1373.8, which puts Molmo 1.5B below the midpoint.

Allen Institute for AI models average 1273.7 on this benchmark. Molmo 1.5B is 134.2 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 1224.7. Molmo 1.5B is 85.2 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 1139.5 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
Pythia 7B EleutherAI 8192 $0.10 40.7
Arctic 1.5B Snowflake 32768 $0.15 43.2

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
HellaSwag 63.6 591 2th
MMMU 43.1 586 2th

FAQ

What score does Molmo 1.5B get on Arena Elo?

Molmo 1.5B scores 1139.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Molmo 1.5B rank on Arena Elo?

It ranks #587 of 600 models, in the 2nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Molmo 1.5B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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