Coding · NVIDIA

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

Nemotron Nano Base scores 68.0 on HumanEval, placing it #415 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
68.0
0–100 scale
Rank
#415
of 600
Percentile
31th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
28.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron Nano Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Nemotron Nano Base sits at #415 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 28.8 points. The median model in this index scores 77.4, which puts Nemotron Nano Base below the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron Nano Base is 2.1 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 72.4. Nemotron Nano Base is 4.4 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 68.0 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 $1.85 per million input tokens, Nemotron Nano Base is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Nova Lite Mini Amazon 16384 $5.43 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Embed 4 Pro Cohere 4096 $5.05 63.5
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4

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
MATH-500 68.4 396 34th
AIME 2025 59.9 388 35th
LiveCodeBench 53.8 413 31th
IFEval 75.7 392 35th
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 HumanEval?

Nemotron Nano Base scores 68.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron Nano Base rank on HumanEval?

It ranks #415 of 600 models, in the 31st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron Nano Base good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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