Model
Model explorer

ERNIE 4.5 VL 424B-A47B

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

Largest open ERNIE 4.5 release; supports thinking/non-thinking modes, with Baidu claiming near-o1 results on MathVista, MMMU and VisualPuzzle.

ReasoningCodingVisionFunction callingTool useAgentic
1354.6
Elo · unrated
Parameters
424B
Active params
47B (MoE)
Context
128K tokens
Architecture
Multimodal heterogeneous MoE, 128 experts (64 text + 64 vision), 8 active per modality, 54 layers
License
Apache-2.0
Languages
API price (in/out)
$0.42 / $1.25
Modalities
text · vision · video
Benchmark results
Bar shows position within the tracked field; marker = field best
AI2DVision95.3%#6
best: Molmo 72B · 96.3%
ChartQAVision86.8%#17
best: MiniMax-VL-01 · 91.7%
DocVQAVision93.1%#23
best: Qwen2-VL-72B · 96.5%
MathVistaVision78.9%#15
best: Seed 2.1 Pro · 90.7%
MMBench (Chinese)Vision90.9%#1
best: this model · 90.9%
MMBench (English)Vision92.0%#6
best: Qwen3.5-397B-A17B · 93.7%
MMMU-ProVision58.8%#39
best: Claude Opus 4.7 · 85.5%
MMMUVision70.0%#55
best: Claude Fable 5 · 89.3%
OCRBenchVision872#6
best: InternVL3-78B · 906
Run it locally
VRAM @ Q4
245 GB
VRAM @ FP16
979 GB
Fits on (Q4)
M3 Ultra 512GB
424B total / 47B active multimodal MoE needs roughly 1TB VRAM at FP16 and stays far beyond a single RTX 4090 even at 4-bit.
Quantizations
GGUF Q4 · FP8 · INT4 (W4A16) · 2-bit
ERNIE 4.5 family
Elo progression across releases
API price $0.42/$1.25 · each benchmark row carries its own source badge (see methodology)