TAU2
Measured May 14, 2026Source
Score
0
Models15 0 
ERNIE 4.5 300B A47B
百度百度China
ERNIE 4.5 300B A47B is a large-scale language model from Baidu's ERNIE series, featuring 300 billion total parameters with 47 billion activated per inference. It is designed for strong performance in complex reasoning, language understanding, and generation tasks.
ReasoningCoding
Input / 1M tokens
$0.28Output / 1M tokens
$1.10Output tokens/s
24.4First-token seconds
1.65sSupported plans
0Benchmark history
Evaluations
Terminalbench Hard
Measured May 14, 2026Source
Score
0.06
Lcr
Measured May 14, 2026Source
Score
0.02
Ifbench
Measured May 14, 2026Source
Score
0.39
Aime 25
Measured May 14, 2026Source
Score
0.41
Aime
Measured May 14, 2026Source
Score
0.49
Math 500
Measured May 14, 2026Source
Score
0.93
Scicode
Measured May 14, 2026Source
Score
0.32
Livecodebench
Measured May 14, 2026Source
Score
0.47
Hle
Measured May 14, 2026Source
Score
0.04
Gpqa
Measured May 14, 2026Source
Score
0.81
Mmlu Pro
Measured May 14, 2026Source
Score
0.78
Artificial Analysis Math Index
Measured May 14, 2026Source
Score
41.3
Artificial Analysis Coding Index
Measured May 14, 2026Source
Score
14.5
Artificial Analysis Intelligence Index
Measured May 14, 2026Source
Score
15
Plan availability
Products and plans that support this model
No products or plans have been linked to this model yet.
Discussion
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