Coding · NVIDIA

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

Nemotron 4 Chat scores 78.6 on HumanEval, placing it #277 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.6
0–100 scale
Rank
#277
of 600
Percentile
54th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
18.2
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nemotron 4 Chat 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 Chat sits at #277 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.2 points. The median model in this index scores 77.4, which puts Nemotron 4 Chat above the midpoint.

NVIDIA models average 65.9 on this benchmark. Nemotron 4 Chat is 12.7 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 Chat is 3.6 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 78.6 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 $3.99 per million input tokens, Nemotron 4 Chat 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
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Mixtral Chat Mistral AI 65536 $3.30 72.6
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Reka Flash Pro Reka AI 200000 $10.82 75.2
Fusion Pro OpenRouter 65536 $8.69 72.2

Other benchmarks for Nemotron 4 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.2 271 55th
GPQA Diamond 69.4 283 53th
SWE-bench Verified 62.3 271 55th
MATH-500 82.2 160 73th
AIME 2025 73.0 203 66th
LiveCodeBench 65.9 276 54th
IFEval 81.8 281 53th
TruthfulQA 79.2 210 65th
HellaSwag 84.4 268 55th
MMMU 71.1 271 55th
Arena Elo 1398.2 212 65th

FAQ

What score does Nemotron 4 Chat get on HumanEval?

Nemotron 4 Chat scores 78.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nemotron 4 Chat rank on HumanEval?

It ranks #277 of 600 models, in the 54th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nemotron 4 Chat 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 Chat cost?

Nemotron 4 Chat costs $3.99 per million input tokens and $16.11 per million output tokens.

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