ERNIE 4.5 VL 424B A47B vs Gemma 4 31B
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 Gemma 4 31B.
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...
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Technical Specifications
| Specification | ERNIE 4.5 VL 424B A47B | Gemma 4 31B |
|---|---|---|
| Provider | Baidu | |
| Context Window | 131,072 tokens | 262,144 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 | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-30 | 2026-04-02 |
API Pricing Comparison
Input Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$0.42
Gemma 4 31B
$0.12
Output Price per Million Tokens
ERNIE 4.5 VL 424B A47B
$1.25
Gemma 4 31B
$0.35
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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.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.