ERNIE 4.5 VL 424B A47B vs MiniMax M1
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for ERNIE 4.5 VL 424B A47B and MiniMax M1.
ERNIE 4.5 VL 424B A47B
ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
| Specification | ERNIE 4.5 VL 424B A47B | MiniMax M1 |
|---|---|---|
| Provider | Baidu | MiniMax |
| Context Window | 131,072 tokens | 1,000,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-06-30 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$0.42
MiniMax M1
$0.40
Output Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$1.25
MiniMax M1
$2.20
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
ERNIE 4.5 VL 424B A47B Quirks & Gotchas
No developer gotchas reported.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.