Mathematics · NVIDIA

Nemotron Nano 7B on AIME 2025: score, rank and what it means

Nemotron Nano 7B scores 31.3 on AIME 2025, placing it #580 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
31.3
0–100 scale
Rank
#580
of 600
Percentile
3th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
60.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Nemotron Nano 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Nemotron Nano 7B sits at #580 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 60.1 points. The median model in this index scores 67.6, which puts Nemotron Nano 7B below the midpoint.

NVIDIA models average 53.6 on this benchmark. Nemotron Nano 7B is 22.3 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 41.6. Nemotron Nano 7B is 10.3 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 31.3 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 $0.35 per million input tokens, Nemotron Nano 7B is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1
Nemotron Nano 7B NVIDIA 8192 $0.35 47.5
Arctic 1.5B Snowflake 32768 $0.15 43.2
Mixtral Groq 1.5B Groq 4096 $0.34 46.1

Other benchmarks for Nemotron Nano 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 56.9 561 7th
GPQA Diamond 41.7 580 3th
SWE-bench Verified 31.0 576 4th
HumanEval 49.5 576 4th
MATH-500 48.7 570 5th
LiveCodeBench 32.3 579 4th
IFEval 60.7 569 5th
TruthfulQA 56.6 558 7th
HellaSwag 67.6 560 7th
MMMU 46.7 575 4th
Arena Elo 1180.8 575 4th

FAQ

What score does Nemotron Nano 7B get on AIME 2025?

Nemotron Nano 7B scores 31.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Nemotron Nano 7B rank on AIME 2025?

It ranks #580 of 600 models, in the 3rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Nemotron Nano 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 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 Nemotron Nano 7B cost?

Nemotron Nano 7B costs $0.35 per million input tokens and $1.30 per million output tokens.

Related