Instruction following · NVIDIA

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

Nemotron Nano 7B scores 60.7 on IFEval, placing it #569 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
60.7
0–100 scale
Rank
#569
of 600
Percentile
5th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
35.4
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Nemotron Nano 7B sits at #569 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 35.4 points. The median model in this index scores 81.2, which puts Nemotron Nano 7B below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron Nano 7B is 10.6 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 64.9. Nemotron Nano 7B is 4.2 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 60.7 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron 4 1.5B NVIDIA 32768 $0.49 50.8
Seed-OSS 1.5B ByteDance 4096 $0.45 49.8
StableLM 2 8B Stability AI 32768 $0.38 47.0
Llama 3 Lambda 1.5B Lambda 16384 $0.46 48.4
Nemotron Nano 7B NVIDIA 8192 $0.35 47.5
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Codestral 1.5B Mistral AI 8192 $0.52 49.9

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
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 IFEval?

Nemotron Nano 7B scores 60.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron Nano 7B rank on IFEval?

It ranks #569 of 600 models, in the 5th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron Nano 7B good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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