Baidu ERNIE 4.5 VL 424B A47B

ERNIE 4.5 VL 424B A47B by Baidu excels in the Coding category, where it ranks #268 with a composite score of 40/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

ERNIE 4.5 VL 424B A47B is priced at $0.42 per million input tokens and $1.25 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, ERNIE 4.5 VL 424B A47B holds rank #268 out of 340 models tracked. Its quality rank is #268 and adoption rank is #268. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

ERNIE 4.5 VL 424B A47B has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (99/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

ERNIE 4.5 VL 424B A47B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Baidu's website for current free tier availability and promotional offers.

ERNIE 4.5 VL 424B A47B supports a 123K token context window (123,000 tokens total). That translates to roughly 92,250 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

ERNIE 4.5 VL 424B A47B can generate up to 16K output tokens (16,000 tokens) per response. That is roughly 12,000 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

ERNIE 4.5 VL 424B A47B supports image understanding (vision), extended reasoning/chain-of-thought, streaming responses. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Yes, ERNIE 4.5 VL 424B A47B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

ERNIE 4.5 VL 424B A47B was developed by Baidu. It was released on June 30, 2025. You can access it through Baidu's API or download the model weights directly. Check our provider page for all models from Baidu and how they compare against each other.

Pick ERNIE 4.5 VL 424B A47B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access ERNIE 4.5 VL 424B A47B through Baidu's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.