Instruction following · NVIDIA

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

Nemotron 4 7B scores 69.3 on IFEval, placing it #470 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
69.3
0–100 scale
Rank
#470
of 600
Percentile
22th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
26.8
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron 4 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 4 7B sits at #470 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 26.8 points. The median model in this index scores 81.2, which puts Nemotron 4 7B below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron 4 7B is 2.0 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 4 7B is 4.4 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 69.3 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 $1.05 per million input tokens, Nemotron 4 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
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
Magistral 7B Mistral AI 32768 $1.22 58.9
Pythia Chat EleutherAI 4096 $1.31 59.1
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Llama 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5

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
TruthfulQA 63.7 477 21th
HellaSwag 73.1 479 20th
MMMU 53.8 512 15th
Arena Elo 1244.0 499 17th

FAQ

What score does Nemotron 4 7B get on IFEval?

Nemotron 4 7B scores 69.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron 4 7B rank on IFEval?

It ranks #470 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron 4 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 4 7B cost?

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

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