Instruction following · NVIDIA

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

Nemotron Nano 1.5B scores 52.0 on IFEval, placing it #596 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
52.0
0–100 scale
Rank
#596
of 600
Percentile
1th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
44.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron Nano 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 Nano 1.5B sits at #596 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 44.1 points. The median model in this index scores 81.2, which puts Nemotron Nano 1.5B below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron Nano 1.5B is 19.3 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 1.5B is 12.9 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 52.0 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 $0.10 per million input tokens, Nemotron Nano 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
Arctic 1.5B Snowflake 32768 $0.15 43.2
Pythia 8B EleutherAI 32768 $0.16 41.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
Pythia 7B EleutherAI 8192 $0.10 40.7
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Pythia 1.5B EleutherAI 4096 $0.10 35.8
StableLM 2 1.5B Stability AI 16384 $0.13 38.3

Other benchmarks for Nemotron Nano 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.7 591 2th
GPQA Diamond 38.8 590 2th
SWE-bench Verified 26.2 593 1th
HumanEval 44.0 591 2th
MATH-500 39.3 592 1th
AIME 2025 25.6 592 1th
LiveCodeBench 26.3 590 2th
TruthfulQA 50.1 591 2th
HellaSwag 61.1 594 1th
MMMU 42.8 587 2th
Arena Elo 1125.7 595 1th

FAQ

What score does Nemotron Nano 1.5B get on IFEval?

Nemotron Nano 1.5B scores 52.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron Nano 1.5B rank on IFEval?

It ranks #596 of 600 models, in the 1st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron Nano 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 Nano 1.5B cost?

Nemotron Nano 1.5B costs $0.10 per million input tokens and $0.48 per million output tokens.

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