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ERNIE 4.5 VL 424B A47B pricing

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. ERNIE 4.5 VL 424B A47B from Baidu (ERNIE) costs $0.420 per 1M input tokens and $1.25 per 1M output tokens. Context window 123,000 tokens.

API id ernie-4.5-vl-424b-a47b · Baidu (ERNIE) · source · updated 2026-09-26 · general-purpose

$0.420
Input / 1M tokens
$1.25
Output / 1M tokens
—
Cached input / 1M
123K
Context window

ERNIE 4.5 VL 424B A47B specifications

API id
ernie-4.5-vl-424b-a47b
Model type
general-purpose
Context window
123K tokens
Max output
16K tokens
Currency
USD
Price source
Provider API
Last checked
2026-09-26

Tags

  • vision

ERNIE 4.5 VL 424B A47B across providers

The same model, priced by every seller we track. Ranked by the cost of 1M input + 1M output tokens, standard tier; savings measured against buying from the vendor directly.

ProviderInput /1MCached /1MOutput /1M1M in + 1M outvs vendor
Baidu (ERNIE)VendorCheapestviewing
$0.420—$1.25$1.67—
$0.420—$1.25$1.67—

What ERNIE 4.5 VL 424B A47B costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0010
Document summary50,0002,000$0.02
1M tokens in, 200K out1,000,000200,000$0.67

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does ERNIE 4.5 VL 424B A47B cost per 1M tokens?
ERNIE 4.5 VL 424B A47B costs $0.420 per 1M input tokens and $1.25 per 1M output tokens on the standard tier.
What is ERNIE 4.5 VL 424B A47B 's context window?
ERNIE 4.5 VL 424B A47B accepts up to 123,000 tokens in a single request, and can return up to 16,000 output tokens.
Where does this ERNIE 4.5 VL 424B A47B price come from?
From the OpenRouter catalogue, because Baidu (ERNIE) does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from Baidu (ERNIE)'s own — verify before committing spend.

Head-to-head comparisons