Coding · Allen Institute for AI

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

Molmo 7B scores 37.9 on LiveCodeBench, placing it #550 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
37.9
0–100 scale
Rank
#550
of 600
Percentile
8th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
47.2
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Molmo 7B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Molmo 7B sits at #550 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 47.2 points. The median model in this index scores 64.7, which puts Molmo 7B below the midpoint.

Allen Institute for AI models average 48.3 on this benchmark. Molmo 7B is 10.4 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 41.2. Molmo 7B is 3.3 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 37.9 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DBRX 7B Databricks 8192 $0.65 51.9
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Llama 3 Hyperbolic 1.5B Hyperbolic 32768 $0.45 48.4
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0

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
IFEval 61.3 562 6th
TruthfulQA 56.1 565 6th
HellaSwag 65.3 580 3th
MMMU 50.2 552 8th
Arena Elo 1183.4 572 5th

FAQ

What score does Molmo 7B get on LiveCodeBench?

Molmo 7B scores 37.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Molmo 7B rank on LiveCodeBench?

It ranks #550 of 600 models, in the 8th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Molmo 7B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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