Coding · Baidu

ERNIE 4.5 Mini on LiveCodeBench: score, rank and what it means

ERNIE 4.5 Mini scores 63.0 on LiveCodeBench, placing it #336 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
63.0
0–100 scale
Rank
#336
of 600
Percentile
44th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
22.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with ERNIE 4.5 Mini 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 4.5 Mini sits at #336 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 22.1 points. The median model in this index scores 64.7, which puts ERNIE 4.5 Mini below the midpoint.

Baidu models average 67.6 on this benchmark. ERNIE 4.5 Mini is 4.6 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 4.5 Mini is 4.7 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 63.0 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 $8.62 per million input tokens, ERNIE 4.5 Mini 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
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3 Baseten Baseten 128000 $3.62 74.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Auto Pro OpenRouter 8192 $8.41 71.2
Yi-Large 01.AI 32768 $3.40 73.5

Other benchmarks for ERNIE 4.5 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.9 334 44th
GPQA Diamond 64.5 370 38th
SWE-bench Verified 60.9 302 50th
HumanEval 73.7 361 40th
MATH-500 75.3 318 47th
AIME 2025 62.4 372 38th
IFEval 78.9 358 40th
TruthfulQA 76.6 289 52th
HellaSwag 81.0 370 38th
MMMU 69.9 307 49th
Arena Elo 1362.6 339 44th

FAQ

What score does ERNIE 4.5 Mini get on LiveCodeBench?

ERNIE 4.5 Mini scores 63.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does ERNIE 4.5 Mini rank on LiveCodeBench?

It ranks #336 of 600 models, in the 44th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is ERNIE 4.5 Mini 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 4.5 Mini cost?

ERNIE 4.5 Mini costs $8.62 per million input tokens and $33.67 per million output tokens.

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