Mathematics · Allen Institute for AI

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

Molmo Chat scores 68.2 on MATH-500, placing it #398 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
68.2
0–100 scale
Rank
#398
of 600
Percentile
34th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
28.5
points

Score distribution

The chart shows the top 10 models on MATH-500, with Molmo Chat 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 Chat sits at #398 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 28.5 points. The median model in this index scores 76.0, which puts Molmo Chat below the midpoint.

Allen Institute for AI models average 60.7 on this benchmark. Molmo Chat is 7.5 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 Chat is 2.6 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 68.2 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 $2.40 per million input tokens, Molmo Chat 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
Firesearch Fireworks AI 32768 $7.03 68.5
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
StableLM 2 Stability AI 8192 $1.91 65.0
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
SmolLM3 Hugging Face 8192 $1.71 63.1

Other benchmarks for Molmo Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.1 350 42th
GPQA Diamond 63.4 381 37th
SWE-bench Verified 52.9 399 34th
HumanEval 70.0 393 35th
AIME 2025 58.1 399 34th
LiveCodeBench 58.6 382 36th
IFEval 76.1 387 36th
TruthfulQA 69.9 402 33th
HellaSwag 78.1 401 33th
MMMU 64.8 382 36th
Arena Elo 1324.4 393 35th

FAQ

What score does Molmo Chat get on MATH-500?

Molmo Chat scores 68.2 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Molmo Chat rank on MATH-500?

It ranks #398 of 600 models, in the 34th percentile. The leader is GPT-5.2 Max at 96.7.

Is Molmo Chat 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 Chat cost?

Molmo Chat costs $2.40 per million input tokens and $10.86 per million output tokens.

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