Instruction following · NVIDIA

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

Nemotron Nano Base scores 75.7 on IFEval, placing it #392 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
75.7
0–100 scale
Rank
#392
of 600
Percentile
35th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
20.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Nemotron Nano Base 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 Base sits at #392 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 20.4 points. The median model in this index scores 81.2, which puts Nemotron Nano Base below the midpoint.

NVIDIA models average 71.3 on this benchmark. Nemotron Nano Base is 4.4 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 Base is 1.3 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 75.7 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 $1.85 per million input tokens, Nemotron Nano Base 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
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
Embed 4 Reasoning Cohere 4096 $5.50 65.3
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Nova Lite Mini Amazon 16384 $5.43 65.0
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Kimi K2 8B Moonshot AI 8192 $1.86 64.7

Other benchmarks for Nemotron Nano Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.0 418 30th
GPQA Diamond 57.8 430 28th
SWE-bench Verified 53.3 395 34th
HumanEval 68.0 415 31th
MATH-500 68.4 396 34th
AIME 2025 59.9 388 35th
LiveCodeBench 53.8 413 31th
TruthfulQA 68.8 407 32th
HellaSwag 79.5 388 35th
MMMU 62.2 407 32th
Arena Elo 1318.8 397 34th

FAQ

What score does Nemotron Nano Base get on IFEval?

Nemotron Nano Base scores 75.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nemotron Nano Base rank on IFEval?

It ranks #392 of 600 models, in the 35th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nemotron Nano Base 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 Base cost?

Nemotron Nano Base costs $1.85 per million input tokens and $8.64 per million output tokens.

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