Coding · NVIDIA

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

Nemotron 4 Base scores 64.2 on LiveCodeBench, placing it #313 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
64.2
0–100 scale
Rank
#313
of 600
Percentile
48th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
20.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Nemotron 4 Base 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 Base sits at #313 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.9 points. The median model in this index scores 64.7, which puts Nemotron 4 Base below the midpoint.

NVIDIA models average 51.3 on this benchmark. Nemotron 4 Base is 12.9 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 59.1. Nemotron 4 Base is 5.1 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 64.2 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion OpenRouter 16384 $8.41 71.1
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
GPT-5.2 Nano OpenAI 128000 $9.73 73.5
Grok 3 Mini xAI 200000 $9.67 73.9
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Mixtral Groq Groq 16384 $3.37 73.1
Mixtral Turbo Chat Together AI 32768 $3.02 71.7

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
HumanEval 76.8 311 48th
MATH-500 76.8 286 52th
AIME 2025 66.7 320 47th
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 LiveCodeBench?

Nemotron 4 Base scores 64.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Nemotron 4 Base rank on LiveCodeBench?

It ranks #313 of 600 models, in the 48th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Nemotron 4 Base good at LiveCodeBench?

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 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 Base cost?

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

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