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Baidu: ERNIE 4.5 VL 424B A47B

baidu/ernie-4.5-vl-424b-a47b
Context window
123,000 tokens
Maximum output
16,000 tokens
Input price
$0.42 per 1M tokens
Output price
$1.25 per 1M tokens
Modalities
image, text

Last verified · Source ↗

Official description

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...

Read the official model reference ↗.

Where this model fits

baidu/ernie-4.5-vl-424b-a47b is part of the OpenRouter API catalog. Its documented modalities are image, text. Choose it against the request format, output requirements and operational limits of your application.

The source metadata identifies support for router hosting. Confirm endpoint-specific parameters in the official reference before integrating that capability.

For a repeatable evaluation, use representative requests, inspect structured output or tool calls, and log latency and usage in your own account. Catalog metadata establishes compatibility; it does not measure answer quality on your workload. Start from the provider guide for authentication and endpoint setup.

Current pricing

Verified model prices
ModelPrice typeUSDUnitTierRegionSource
Baidu: ERNIE 4.5 VL 424B A47B Input$0.42per 1M tokensStandardSee sourceOfficial source ↗
Baidu: ERNIE 4.5 VL 424B A47B Output$1.25per 1M tokensStandardSee sourceOfficial source ↗

Last verified · Source ↗

Estimate request, daily and monthly usage in the API cost calculator.

Rate limits and availability

Published limits have not yet been verified for this selection. Check the official limits documentation and your account console.

Last verified · Source ↗

Account-specific capacity may differ. Check the provider rate-limit guide and the free-tier conditions.

Three alternatives to compare

These alternatives share a documented modality and have the closest combination of input price and context size in the current catalog. This is a specification comparison, not a quality benchmark.

Computed model alternatives
ModelProviderInput / 1M tokensContext
Meta: Llama 3.1 70B InstructOpenRouter$0.4131,072
Mistral: Mistral Medium 3OpenRouter$0.4131,072
Mistral: Mistral Medium 3.1OpenRouter$0.4131,072

Use the exact identifier in Python

This identifier fragment belongs in the authenticated request described in the provider Python tutorial. The tutorial covers the correct SDK, endpoint, environment variable and response shape.

model = "baidu\/ernie-4.5-vl-424b-a47b"
# Pass model to the provider-specific request in the tutorial.

Recent changes

  1. OpenRouter · Baidu: ERNIE 4.5 VL 424B A47B — Amount UsdNot previously recorded → Price category: output · USD: 1.25 · Unit: per 1M tokensSource ↗
  2. OpenRouter · Baidu: ERNIE 4.5 VL 424B A47B — Amount UsdNot previously recorded → Price category: input · USD: 0.42 · Unit: per 1M tokensSource ↗
  3. OpenRouter · Baidu: ERNIE 4.5 VL 424B A47B — First SeenNot previously recorded → Model: Baidu: ERNIE 4.5 VL 424B A47B Source ↗

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Frequently asked questions

What is the exact API model identifier?
Use baidu/ernie-4.5-vl-424b-a47b exactly as shown in the provider model reference. Display names are not interchangeable with API identifiers.
How much does this model cost?
The current verified prices and billing units are listed in the pricing table above. Cache, batch, tier and region conditions remain separate rows when the provider documents them.
How much input can the model accept?
The model card shows the documented context window and maximum output when available. Your request must leave room for both input and generated output, including any provider-specific reasoning allocation.
Can I use a free tier?
Check the linked provider free-tier page for eligibility and account conditions. An account credit or temporary trial does not establish a permanent free rate.
Where do these model facts come from?
Official provider references are linked beside the data and in Sources. Changes are recorded with observation times; unresolved or undocumented fields are left unavailable.

Sources

Last verified · Source ↗