Instruction following · NVIDIA

Nemotron 4 1.5B on IFEval: score, rank and what it means

Nemotron 4 1.5B scores 60.9 on IFEval, placing it #565 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
60.9
0–100 scale
Rank
#565
of 600
Percentile
6th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
35.2
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron 4 1.5B 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 1.5B sits at #565 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 35.2 points. The median model in this index scores 81.2, which puts Nemotron 4 1.5B below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron 4 1.5B is 10.4 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 64.9. Nemotron 4 1.5B is 4.0 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 60.9 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 $0.49 per million input tokens, Nemotron 4 1.5B 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
Phi-3.5 7B Microsoft 4096 $0.50 50.5
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Llama 3.3 Groq 1.5B Groq 4096 $0.46 50.0
Embed 4 Nano Cohere 8192 $1.48 49.7
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

Other benchmarks for Nemotron 4 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.3 558 7th
GPQA Diamond 46.0 559 7th
SWE-bench Verified 35.4 555 8th
HumanEval 55.0 544 9th
MATH-500 50.7 551 8th
AIME 2025 40.9 538 10th
LiveCodeBench 37.6 553 8th
TruthfulQA 56.1 566 6th
HellaSwag 68.1 557 7th
MMMU 50.9 545 9th
Arena Elo 1201.8 550 8th

FAQ

What score does Nemotron 4 1.5B get on IFEval?

Nemotron 4 1.5B scores 60.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron 4 1.5B rank on IFEval?

It ranks #565 of 600 models, in the 6th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron 4 1.5B 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 1.5B cost?

Nemotron 4 1.5B costs $0.49 per million input tokens and $2.67 per million output tokens.

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