Instruction following · NVIDIA

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

Nemotron Nano scores 74.2 on IFEval, placing it #402 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
74.2
0–100 scale
Rank
#402
of 600
Percentile
33th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
21.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron Nano 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 sits at #402 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 21.9 points. The median model in this index scores 81.2, which puts Nemotron Nano below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron Nano is 2.9 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 77.0. Nemotron Nano is 2.8 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 74.2 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 $2.24 per million input tokens, Nemotron Nano 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
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Phi-3.5 Base Microsoft 65536 $2.24 66.6

Other benchmarks for Nemotron Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.5 393 35th
GPQA Diamond 65.1 357 41th
SWE-bench Verified 54.1 392 35th
HumanEval 69.7 399 34th
MATH-500 68.4 395 34th
AIME 2025 60.2 387 36th
LiveCodeBench 58.3 385 36th
TruthfulQA 68.8 406 32th
HellaSwag 78.0 402 33th
MMMU 64.8 383 36th
Arena Elo 1334.4 382 36th

FAQ

What score does Nemotron Nano get on IFEval?

Nemotron Nano scores 74.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron Nano rank on IFEval?

It ranks #402 of 600 models, in the 33rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron Nano 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 cost?

Nemotron Nano costs $2.24 per million input tokens and $8.55 per million output tokens.

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