Coding · NVIDIA

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

Nemotron Nano scores 58.3 on LiveCodeBench, placing it #385 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
58.3
0–100 scale
Rank
#385
of 600
Percentile
36th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
26.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Nemotron Nano 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 sits at #385 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 26.8 points. The median model in this index scores 64.7, which puts Nemotron Nano below the midpoint.

NVIDIA models average 51.3 on this benchmark. Nemotron Nano is 7.0 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 Nano is 0.8 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 58.3 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 $2.24 per million input tokens, Nemotron Nano 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
Reka Core Nano Reka AI 16384 $5.45 65.1
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Nova Pro Nano Amazon 8192 $5.44 65.4
DBRX Base Databricks 32768 $2.63 69.1
Nemotron Nano NVIDIA 8192 $2.24 66.6
Embed 4 Max Cohere 8192 $5.68 66.1
Reka Flash Mini Reka AI 16384 $5.77 65.5

Other benchmarks for Nemotron Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.5 393 35th
GPQA Diamond 65.1 357 41th
SWE-bench Verified 54.1 392 35th
HumanEval 69.7 399 34th
MATH-500 68.4 395 34th
AIME 2025 60.2 387 36th
IFEval 74.2 402 33th
TruthfulQA 68.8 406 32th
HellaSwag 78.0 402 33th
MMMU 64.8 383 36th
Arena Elo 1334.4 382 36th

FAQ

What score does Nemotron Nano get on LiveCodeBench?

Nemotron Nano scores 58.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Nemotron Nano rank on LiveCodeBench?

It ranks #385 of 600 models, in the 36th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Nemotron Nano 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 cost?

Nemotron Nano costs $2.24 per million input tokens and $8.55 per million output tokens.

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