ERNIE 4.5 VL 424B A47B vs R1 0528
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 R1 0528.
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...
R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
Technical Specifications
| Specification | ERNIE 4.5 VL 424B A47B | R1 0528 |
|---|---|---|
| Provider | Baidu | DeepSeek |
| Context Window | 131,072 tokens | 163,840 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-30 | 2025-05-28 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$0.42
R1 0528
$0.50
Output Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$1.25
R1 0528
$2.15
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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.
R1 0528 Quirks & Gotchas
No developer gotchas reported.