Model
Model explorer

ERNIE 4.5 300B-A47B

OPEN
Baidu · ERNIE 4.5 family · released Jun 30, 2025

Flagship open-weights text MoE anchoring the 0.3B-424B ERNIE 4.5 family; scores below the median of comparable open models on Artificial Analysis's Intelligence Index.

ReasoningCodingVisionFunction callingTool useAgentic
1445.5
Elo · rank #132
Parameters
300B
Active params
47B (MoE)
Context
128K tokens
Architecture
Mixture-of-Experts, 64 text experts / 8 active per token, 54 layers, GQA 64Q/8KV
License
Apache-2.0
Languages
API price (in/out)
$0.28 / $1.1
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AIMEMath35.1%#131
best: GPT-5.2 · 100.0%
BIG-Bench HardReasoning94.3%#1
best: this model · 94.3%
C-EvalKnowledge90.6%#12
best: Qwen3.6-Plus · 93.3%
CMMLUKnowledge90.2%#2
best: Doubao-1.5-Pro · 90.9%
DROPReasoning91.1#5
best: Hunyuan-T1 · 93.1
GPQA DiamondReasoning81.0%#74
best: GPT-5.6 · 94.6%
GSM8KMath96.6%#3
best: Llama 3.1 405B · 96.8%
Humanity's Last ExamReasoning4.0%#127
best: Claude Sonnet 5 · 57.4%
HumanEval+Coding92.1%#5
best: Mistral Small 3.2 (24B) · 92.9%
IFBenchReasoning39.0%#47
best: MiniMax M3 · 83.0%
IFEvalReasoning88.0%#34
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding38.8%#133
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math96.4%#24
best: GPT-5 · 99.4%
MBPP+Coding81.0%#6
best: Llama 3.1 405B · 88.6%
MMLU-ProKnowledge78.4%#62
best: Claude Fable 5 · 91.5%
MMLUKnowledge86.5%#41
best: OpenAI o3 · 92.9%
SimpleQAKnowledge45.9%#5
best: GPT-4.5 · 62.5%
Run it locally
VRAM @ Q4
151 GB
VRAM @ FP16
603 GB
Fits on (Q4)
M3 Ultra 512GBB200 192GB
300B total / 47B active MoE far exceeds a single RTX 4090's 24GB even at 4-bit; needs multi-GPU/datacenter hardware.
Quantizations
GGUF Q4 · FP8 · INT4 (W4A16) · 2-bit
ERNIE 4.5 family
Elo progression across releases
API price $0.28/$1.1 · each benchmark row carries its own source badge (see methodology)