Preference · Allen Institute for AI

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

Molmo 8B scores 1186.2 on Arena Elo, placing it #568 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
1186.2
0–100 scale
Rank
#568
of 600
Percentile
5th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
315.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Molmo 8B 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 8B sits at #568 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 315.7 points. The median model in this index scores 1373.8, which puts Molmo 8B below the midpoint.

Allen Institute for AI models average 1273.7 on this benchmark. Molmo 8B is 87.5 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 1224.7. Molmo 8B is 38.5 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 1186.2 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral 1.5B Mistral AI 8192 $0.52 49.9
Phi-3.5 7B Microsoft 4096 $0.50 50.5
Mixtral 1.5B Mistral AI 16384 $0.36 47.7
Llama 3.1 1.5B Meta AI 4096 $0.53 50.7
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8

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
HellaSwag 69.1 545 9th
MMMU 50.4 549 9th

FAQ

What score does Molmo 8B get on Arena Elo?

Molmo 8B scores 1186.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Molmo 8B rank on Arena Elo?

It ranks #568 of 600 models, in the 5th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Molmo 8B 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 8B cost?

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

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