ERNIE 4.5 VL 424B A47B APIOPEN WEIGHTS131K context

Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).

What is 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...

ERNIE 4.5 VL 424B A47B pricing

Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):

On output price, ERNIE 4.5 VL 424B A47B is cheaper than 54% of the 309 models in the catalog.

What ERNIE 4.5 VL 424B A47B costs per month

Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.

ERNIE 4.5 VL 424B A47B vs alternatives

When not to use ERNIE 4.5 VL 424B A47B

• It is served by a single provider, so there is less failover headroom during an outage.

Specs

How to call ERNIE 4.5 VL 424B A47B

Copyfrom openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
    model="baidu/ernie-4.5-vl-424b-a47b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Copycurl https://api.datallmlab.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"baidu/ernie-4.5-vl-424b-a47b","messages":[{"role":"user","content":"Hello"}]}'

Copyimport OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
  model: "baidu/ernie-4.5-vl-424b-a47b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);

The same key routes ERNIE 4.5 VL 424B A47B and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.

Prompting tips for ERNIE 4.5 VL 424B A47B

• State the goal, not every step. ERNIE 4.5 VL 424B A47B reasons internally — give it the objective, constraints and success criteria and let it plan the approach; over-scripting each step tends to lower quality. Turn effort up for hard problems.
• It reads images. Send image parts alongside your text and ask for specific outputs (named JSON fields, a table, "what changed") rather than "describe this".

Tips are derived from ERNIE 4.5 VL 424B A47B 's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.

Open-source tools for ERNIE 4.5 VL 424B A47B

Popular open-source projects for running and building with ERNIE 4.5 VL 424B A47B — star counts pulled from GitHub (July 2026).

Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.

Migrating to ERNIE 4.5 VL 424B A47B

Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → baidu/ernie-4.5-vl-424b-a47b. Messages, streaming and the rest of your code stay the same. Routing & failover guide.

Self-host or use the API?

ERNIE 4.5 VL 424B A47B ships open weights (baidu/ERNIE-4.5-VL-424B-A47B-PT, ~126 downloads and 106 likes in the last 30 days), with community quantizations (fp16) for smaller GPUs, so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across 1 providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.

Rate limits & reliability

Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.

Related reading

Frequently asked questions