Mathematics · Allen Institute for AI

Molmo on MATH-500: score, rank and what it means

Molmo scores 72.0 on MATH-500, placing it #366 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
72.0
0–100 scale
Rank
#366
of 600
Percentile
39th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
24.7
points

Score distribution

The chart shows the top 10 models on MATH-500, with Molmo highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Molmo sits at #366 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 24.7 points. The median model in this index scores 76.0, which puts Molmo below the midpoint.

Allen Institute for AI models average 60.7 on this benchmark. Molmo is 11.3 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 70.8. Molmo is 1.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 72.0 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 MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Molmo Allen Institute for AI 32768 $2.49 68.5
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Phi-4 Base Microsoft 32768 $3.15 71.2

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
AIME 2025 59.3 392 35th
LiveCodeBench 57.1 394 34th
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 MATH-500?

Molmo scores 72.0 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Molmo rank on MATH-500?

It ranks #366 of 600 models, in the 39th percentile. The leader is GPT-5.2 Max at 96.7.

Is Molmo good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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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