ERNIE 4.5 VL 424B A47B vs Gemini 3.1 Pro
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 Gemini 3.1 Pro.
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...
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
Technical Specifications
| Specification | ERNIE 4.5 VL 424B A47B | Gemini 3.1 Pro |
|---|---|---|
| Provider | Baidu | |
| Context Window | 131,072 tokens | 2,000,000 tokens |
| Agent Suitability | N/A | 93/100 |
| Time to First Token (TTFT) | N/A | 420 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-30 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$0.42
Gemini 3.1 Pro
$2.00
Output Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$1.25
Gemini 3.1 Pro
$12.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio