Coding · NVIDIA

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

Nemotron 4 Chat scores 65.9 on LiveCodeBench, placing it #276 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
65.9
0–100 scale
Rank
#276
of 600
Percentile
54th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
19.2
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Nemotron 4 Chat highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Nemotron 4 Chat sits at #276 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 19.2 points. The median model in this index scores 64.7, which puts Nemotron 4 Chat above the midpoint.

NVIDIA models average 51.3 on this benchmark. Nemotron 4 Chat is 14.6 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among multimodal models, the average is 70.3. Nemotron 4 Chat is 4.4 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 65.9 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral Instruct Mistral AI 65536 $4.01 75.1
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Yi-Large Instruct 01.AI 32768 $3.48 73.4
o4 Nano OpenAI 65536 $8.61 72.0

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
HumanEval 78.6 277 54th
MATH-500 82.2 160 73th
AIME 2025 73.0 203 66th
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 LiveCodeBench?

Nemotron 4 Chat scores 65.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Nemotron 4 Chat rank on LiveCodeBench?

It ranks #276 of 600 models, in the 54th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Nemotron 4 Chat good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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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