Coding · NVIDIA

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

Nemotron 4 Base scores 76.8 on HumanEval, placing it #311 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
76.8
0–100 scale
Rank
#311
of 600
Percentile
48th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
20.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron 4 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 4 Base sits at #311 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 20.0 points. The median model in this index scores 77.4, which puts Nemotron 4 Base below the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron 4 Base is 10.9 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 4 Base is 4.4 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 76.8 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 $3.29 per million input tokens, Nemotron 4 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
Yi-Large Instruct 01.AI 32768 $3.48 73.4
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Seed-OSS ByteDance 32768 $3.74 75.3
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Nova Lite Turbo Amazon 8192 $9.14 73.2
Auto Pro OpenRouter 8192 $8.41 71.2

Other benchmarks for Nemotron 4 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.5 292 51th
GPQA Diamond 68.9 299 50th
SWE-bench Verified 60.7 312 48th
MATH-500 76.8 286 52th
AIME 2025 66.7 320 47th
LiveCodeBench 64.2 313 48th
IFEval 81.4 294 51th
TruthfulQA 75.4 323 46th
HellaSwag 85.1 241 60th
MMMU 70.9 276 54th
Arena Elo 1364.5 333 45th

FAQ

What score does Nemotron 4 Base get on HumanEval?

Nemotron 4 Base scores 76.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron 4 Base rank on HumanEval?

It ranks #311 of 600 models, in the 48th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron 4 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 4 Base cost?

Nemotron 4 Base costs $3.29 per million input tokens and $14.95 per million output tokens.

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