Preference · NVIDIA

Nemotron 4 7B on Arena Elo: score, rank and what it means

Nemotron 4 7B scores 1244.0 on Arena Elo, placing it #499 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
1244.0
0–100 scale
Rank
#499
of 600
Percentile
17th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
257.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Nemotron 4 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 4 7B sits at #499 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 257.9 points. The median model in this index scores 1373.8, which puts Nemotron 4 7B below the midpoint.

NVIDIA models average 1292.4 on this benchmark. Nemotron 4 7B is 48.4 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 4 7B is 19.3 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 1244.0 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 $1.05 per million input tokens, Nemotron 4 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
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Codestral 7B Mistral AI 32768 $1.05 57.0
Command R+ 7B Cohere 8192 $0.95 56.2

Other benchmarks for Nemotron 4 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 523 13th
GPQA Diamond 51.4 505 16th
SWE-bench Verified 45.4 463 23th
HumanEval 58.1 522 13th
MATH-500 58.9 478 20th
AIME 2025 44.2 507 16th
LiveCodeBench 47.9 467 22th
IFEval 69.3 470 22th
TruthfulQA 63.7 477 21th
HellaSwag 73.1 479 20th
MMMU 53.8 512 15th

FAQ

What score does Nemotron 4 7B get on Arena Elo?

Nemotron 4 7B scores 1244.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Nemotron 4 7B rank on Arena Elo?

It ranks #499 of 600 models, in the 17th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Nemotron 4 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 4 7B cost?

Nemotron 4 7B costs $1.05 per million input tokens and $4.86 per million output tokens.

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