Coding · NVIDIA

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

Nemotron 4 Instruct scores 83.3 on HumanEval, placing it #154 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.3
0–100 scale
Rank
#154
of 600
Percentile
74th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron 4 Instruct 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 Instruct sits at #154 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.5 points. The median model in this index scores 77.4, which puts Nemotron 4 Instruct above the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron 4 Instruct is 17.4 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among multimodal models, the average is 82.2. Nemotron 4 Instruct is 1.1 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 83.3 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 $4.10 per million input tokens, Nemotron 4 Instruct is above 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
Nova Pro Reasoning Amazon 200000 $13.48 79.4
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Reka Core Pro Reka AI 65536 $13.44 79.9
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6

Other benchmarks for Nemotron 4 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.3 140 77th
GPQA Diamond 74.2 162 73th
SWE-bench Verified 64.4 224 63th
MATH-500 77.9 260 57th
AIME 2025 69.8 261 57th
LiveCodeBench 66.4 266 56th
IFEval 83.0 245 59th
TruthfulQA 80.7 164 73th
HellaSwag 84.9 253 58th
MMMU 74.2 181 70th
Arena Elo 1413.2 177 71th

FAQ

What score does Nemotron 4 Instruct get on HumanEval?

Nemotron 4 Instruct scores 83.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron 4 Instruct rank on HumanEval?

It ranks #154 of 600 models, in the 74th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron 4 Instruct good at HumanEval?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Instruct cost?

Nemotron 4 Instruct costs $4.10 per million input tokens and $14.46 per million output tokens.

Related