Instruction following · NVIDIA

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

Nemotron 4 Instruct scores 83.0 on IFEval, placing it #245 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
83.0
0–100 scale
Rank
#245
of 600
Percentile
59th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
13.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron 4 Instruct 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 Instruct sits at #245 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 13.1 points. The median model in this index scores 81.2, which puts Nemotron 4 Instruct above the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron 4 Instruct is 11.7 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among multimodal models, the average is 85.2. Nemotron 4 Instruct is 2.2 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 83.0 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 $4.10 per million input tokens, Nemotron 4 Instruct is above 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 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3.1 Base Meta AI 32768 $3.39 72.2
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Phi-4 Microsoft 200000 $3.96 75.4
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7

Other benchmarks for Nemotron 4 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.3 140 77th
GPQA Diamond 74.2 162 73th
SWE-bench Verified 64.4 224 63th
HumanEval 83.3 154 74th
MATH-500 77.9 260 57th
AIME 2025 69.8 261 57th
LiveCodeBench 66.4 266 56th
TruthfulQA 80.7 164 73th
HellaSwag 84.9 253 58th
MMMU 74.2 181 70th
Arena Elo 1413.2 177 71th

FAQ

What score does Nemotron 4 Instruct get on IFEval?

Nemotron 4 Instruct scores 83.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron 4 Instruct rank on IFEval?

It ranks #245 of 600 models, in the 59th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron 4 Instruct good at IFEval?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Instruct cost?

Nemotron 4 Instruct costs $4.10 per million input tokens and $14.46 per million output tokens.

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