Coding · Allen Institute for AI

Molmo on LiveCodeBench: score, rank and what it means

Molmo scores 57.1 on LiveCodeBench, placing it #394 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
57.1
0–100 scale
Rank
#394
of 600
Percentile
34th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
28.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Molmo 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 sits at #394 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 28.0 points. The median model in this index scores 64.7, which puts Molmo below the midpoint.

Allen Institute for AI models average 48.3 on this benchmark. Molmo is 8.8 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 59.1. Molmo is 2.0 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 57.1 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 $2.49 per million input tokens, Molmo 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
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Grok 3 Nano xAI 8192 $7.12 67.8
Firesearch Fireworks AI 32768 $7.03 68.5
Molmo Allen Institute for AI 32768 $2.49 68.5
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Embed 4 Reasoning Cohere 4096 $5.50 65.3

Other benchmarks for Molmo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 353 41th
GPQA Diamond 65.3 355 41th
SWE-bench Verified 57.9 357 41th
HumanEval 74.4 353 41th
MATH-500 72.0 366 39th
AIME 2025 59.3 392 35th
IFEval 77.5 372 38th
TruthfulQA 74.0 352 41th
HellaSwag 79.2 392 35th
MMMU 63.3 397 34th
Arena Elo 1328.8 389 35th

FAQ

What score does Molmo get on LiveCodeBench?

Molmo scores 57.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Molmo rank on LiveCodeBench?

It ranks #394 of 600 models, in the 34th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Molmo 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 cost?

Molmo costs $2.49 per million input tokens and $9.45 per million output tokens.

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