Preference · NVIDIA

Nemotron Nano 7B on Arena Elo: score, rank and what it means

Nemotron Nano 7B scores 1180.8 on Arena Elo, placing it #575 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1180.8
0–100 scale
Rank
#575
of 600
Percentile
4th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
321.1
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Nemotron Nano 7B sits at #575 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 321.1 points. The median model in this index scores 1373.8, which puts Nemotron Nano 7B below the midpoint.

NVIDIA models average 1292.4 on this benchmark. Nemotron Nano 7B is 111.6 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 1224.7. Nemotron Nano 7B is 43.9 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 1180.8 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
StableLM 2 8B Stability AI 32768 $0.38 47.0
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3 Baseten 1.5B Baseten 4096 $0.42 48.2
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Nemotron Nano 7B NVIDIA 8192 $0.35 47.5
DBRX 1.5B Databricks 16384 $0.32 47.0
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6

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
AIME 2025 31.3 580 3th
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

FAQ

What score does Nemotron Nano 7B get on Arena Elo?

Nemotron Nano 7B scores 1180.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Nemotron Nano 7B rank on Arena Elo?

It ranks #575 of 600 models, in the 4th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Nemotron Nano 7B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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.

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