Coding · Baidu

ERNIE 4.0 Nano on LiveCodeBench: score, rank and what it means

ERNIE 4.0 Nano scores 53.3 on LiveCodeBench, placing it #415 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
53.3
0–100 scale
Rank
#415
of 600
Percentile
31th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
31.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with ERNIE 4.0 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, ERNIE 4.0 Nano sits at #415 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 31.8 points. The median model in this index scores 64.7, which puts ERNIE 4.0 Nano below the midpoint.

Baidu models average 67.6 on this benchmark. ERNIE 4.0 Nano is 14.3 points below that provider line, so it is a weaker result than the average Baidu model.

Among mid-range models, the average is 58.3. ERNIE 4.0 Nano is 5.0 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 53.3 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 $4.68 per million input tokens, ERNIE 4.0 Nano is above 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
Embed 4 Cohere 32768 $4.79 63.8
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
StableLM 2 Base Stability AI 8192 $1.49 61.9
Auto Mini OpenRouter 4096 $4.24 61.6

Other benchmarks for ERNIE 4.0 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.6 442 26th
GPQA Diamond 57.1 439 27th
SWE-bench Verified 47.0 446 26th
HumanEval 67.0 422 30th
MATH-500 63.4 431 28th
AIME 2025 53.8 426 29th
IFEval 71.2 438 27th
TruthfulQA 68.3 410 32th
HellaSwag 74.8 444 26th
MMMU 61.6 414 31th
Arena Elo 1288.3 432 28th

FAQ

What score does ERNIE 4.0 Nano get on LiveCodeBench?

ERNIE 4.0 Nano scores 53.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does ERNIE 4.0 Nano rank on LiveCodeBench?

It ranks #415 of 600 models, in the 31st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is ERNIE 4.0 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 ERNIE 4.0 Nano cost?

ERNIE 4.0 Nano costs $4.68 per million input tokens and $22.77 per million output tokens.

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