Coding · NVIDIA

Nemotron Nano 8B on LiveCodeBench: score, rank and what it means

Nemotron Nano 8B scores 37.0 on LiveCodeBench, placing it #556 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
37.0
0–100 scale
Rank
#556
of 600
Percentile
7th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
48.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Nemotron Nano 8B 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 Nano 8B sits at #556 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 48.1 points. The median model in this index scores 64.7, which puts Nemotron Nano 8B below the midpoint.

NVIDIA models average 51.3 on this benchmark. Nemotron Nano 8B is 14.3 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 41.2. Nemotron Nano 8B is 4.2 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 37.0 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 $0.46 per million input tokens, Nemotron Nano 8B 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
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Nemotron 4 1.5B NVIDIA 32768 $0.49 50.8
DeepSeek-Coder 1.5B DeepSeek 16384 $0.58 51.0
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
Magistral 1.5B Mistral AI 4096 $0.67 52.7
Phi-4 1.5B Microsoft 8192 $0.42 48.1

Other benchmarks for Nemotron Nano 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 53.5 580 3th
GPQA Diamond 41.5 581 3th
SWE-bench Verified 31.1 575 4th
HumanEval 51.2 565 6th
MATH-500 50.2 554 8th
AIME 2025 35.2 567 6th
IFEval 58.7 580 3th
TruthfulQA 55.7 569 5th
HellaSwag 68.7 551 8th
MMMU 46.2 579 4th
Arena Elo 1192.6 563 6th

FAQ

What score does Nemotron Nano 8B get on LiveCodeBench?

Nemotron Nano 8B scores 37.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Nemotron Nano 8B rank on LiveCodeBench?

It ranks #556 of 600 models, in the 7th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Nemotron Nano 8B 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 Nano 8B cost?

Nemotron Nano 8B costs $0.46 per million input tokens and $1.64 per million output tokens.

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