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 using a heterogeneous MoE architecture and modality-isolated routing to enable high-fidelity cross-modal reasoning, image understanding, and long-context generation (up to 131k tokens). Fine-tuned with techniques like SFT, DPO, UPO, and RLVR, this model supports both “thinking” and non-thinking inference modes. Designed for vision-language tasks in English and Chinese, it is optimized for efficient scaling and can operate under 4-bit/8-bit quantization.
Modalities
In / Out Price
$0.42 / $1.25per 1M
Context
123K
Released
Jun 30, 2025
Knowledge Cutoff
Mar 2025
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
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 using a heterogeneous MoE architecture and modality-isolated routing to enable high-fidelity cross-modal reasoning, image understanding, and long-context generation (up to 131k tokens).
ERNIE 4.5 VL 424B A47B costs $0.42/M input tokens and $1.25/M output tokens.
ERNIE 4.5 VL 424B A47B has a 123,000 token context window. It supports up to 16,000 completion tokens.
The ERNIE 4.5 VL 424B A47B endpoint shown on this page does not accept tools, so function calling is unavailable there. It does not support response_format, so JSON output is not enforced.
ERNIE 4.5 VL 424B A47B accepts images and text as input and returns text.
ERNIE 4.5 VL 424B A47B was released on June 30, 2025. Its knowledge cutoff is March 31, 2025.
| $0.42 | $1.25 | 1.62s | 18 tps |
Throughput
18tok/s
P50, best across providers
Latency
1.62s
P50, best provider
100.00%
99.99%
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