Coding · Baidu

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

ERNIE 4.0 Max scores 70.1 on LiveCodeBench, placing it #188 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
70.1
0–100 scale
Rank
#188
of 600
Percentile
69th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
15.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with ERNIE 4.0 Max 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 Max sits at #188 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 15.0 points. The median model in this index scores 64.7, which puts ERNIE 4.0 Max above the midpoint.

Baidu models average 67.6 on this benchmark. ERNIE 4.0 Max is 2.5 points above that provider line, so it is a stronger result than the average Baidu model.

Among multimodal models, the average is 70.3. ERNIE 4.0 Max is 0.2 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 70.1 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 $12.40 per million input tokens, ERNIE 4.0 Max 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
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3 Lambda Lambda 65536 $3.90 75.6

Other benchmarks for ERNIE 4.0 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 152 75th
GPQA Diamond 76.4 110 82th
SWE-bench Verified 68.0 145 76th
HumanEval 83.5 142 76th
MATH-500 84.6 115 81th
AIME 2025 76.5 135 78th
IFEval 85.9 161 73th
TruthfulQA 81.6 138 77th
HellaSwag 88.7 120 80th
MMMU 72.0 242 60th
Arena Elo 1405.1 194 68th

FAQ

What score does ERNIE 4.0 Max get on LiveCodeBench?

ERNIE 4.0 Max scores 70.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does ERNIE 4.0 Max rank on LiveCodeBench?

It ranks #188 of 600 models, in the 69th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is ERNIE 4.0 Max 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 ERNIE 4.0 Max cost?

ERNIE 4.0 Max costs $12.40 per million input tokens and $53.07 per million output tokens.

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