DeepSeek V4 Pro vs ERNIE 4.5 VL 424B A47B
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 DeepSeek V4 Pro and ERNIE 4.5 VL 424B A47B.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
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...
Technical Specifications
| Specification | DeepSeek V4 Pro | ERNIE 4.5 VL 424B A47B |
|---|---|---|
| Provider | DeepSeek | Baidu |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 94/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-06-30 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
ERNIE 4.5 VL 424B A47B
$0.42
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
ERNIE 4.5 VL 424B A47B
$1.25
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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.
DeepSeek V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
ERNIE 4.5 VL 424B A47B Quirks & Gotchas
No developer gotchas reported.