Coding · NVIDIA

Nemotron 4 1.5B on HumanEval: score, rank and what it means

Nemotron 4 1.5B scores 55.0 on HumanEval, placing it #544 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
55.0
0–100 scale
Rank
#544
of 600
Percentile
9th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
41.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron 4 1.5B 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 4 1.5B sits at #544 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 41.8 points. The median model in this index scores 77.4, which puts Nemotron 4 1.5B below the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron 4 1.5B is 10.9 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 4 1.5B is 1.7 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 55.0 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 $0.49 per million input tokens, Nemotron 4 1.5B 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
Embed 4 Nano Cohere 8192 $1.48 49.7
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
Nemotron 4 1.5B NVIDIA 32768 $0.49 50.8
DBRX 8B Databricks 4096 $0.82 54.1
DBRX 7B Databricks 8192 $0.65 51.9

Other benchmarks for Nemotron 4 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 57.3 558 7th
GPQA Diamond 46.0 559 7th
SWE-bench Verified 35.4 555 8th
MATH-500 50.7 551 8th
AIME 2025 40.9 538 10th
LiveCodeBench 37.6 553 8th
IFEval 60.9 565 6th
TruthfulQA 56.1 566 6th
HellaSwag 68.1 557 7th
MMMU 50.9 545 9th
Arena Elo 1201.8 550 8th

FAQ

What score does Nemotron 4 1.5B get on HumanEval?

Nemotron 4 1.5B scores 55.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron 4 1.5B rank on HumanEval?

It ranks #544 of 600 models, in the 9th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron 4 1.5B 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 4 1.5B cost?

Nemotron 4 1.5B costs $0.49 per million input tokens and $2.67 per million output tokens.

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