Coding · NVIDIA

Nemotron Nano 8B on HumanEval: score, rank and what it means

Nemotron Nano 8B scores 51.2 on HumanEval, placing it #565 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
51.2
0–100 scale
Rank
#565
of 600
Percentile
6th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
45.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron Nano 8B 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 8B sits at #565 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 45.6 points. The median model in this index scores 77.4, which puts Nemotron Nano 8B below the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron Nano 8B is 14.7 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 56.7. Nemotron Nano 8B is 5.5 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 51.2 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 $0.46 per million input tokens, Nemotron Nano 8B 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
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Arctic 7B Snowflake 8192 $0.49 50.3
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
Mixtral 1.5B Mistral AI 16384 $0.36 47.7
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0

Other benchmarks for Nemotron Nano 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 53.5 580 3th
GPQA Diamond 41.5 581 3th
SWE-bench Verified 31.1 575 4th
MATH-500 50.2 554 8th
AIME 2025 35.2 567 6th
LiveCodeBench 37.0 556 7th
IFEval 58.7 580 3th
TruthfulQA 55.7 569 5th
HellaSwag 68.7 551 8th
MMMU 46.2 579 4th
Arena Elo 1192.6 563 6th

FAQ

What score does Nemotron Nano 8B get on HumanEval?

Nemotron Nano 8B scores 51.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron Nano 8B rank on HumanEval?

It ranks #565 of 600 models, in the 6th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron Nano 8B 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 8B cost?

Nemotron Nano 8B costs $0.46 per million input tokens and $1.64 per million output tokens.

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