ERNIE 4.5 VL 424B A47B
by Baidu · baidu/ernie-4.5-vl-424b-a47b · #141 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:33 AM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.42
per 1M tokens
Output
$1.25
per 1M tokens
Blended (3:1)
$0.627
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for ERNIE 4.5 VL 424B A47B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.627 | $0.0441 | — |
| 50% | $0.627 | $0.0441 | −0% |
| 90% | $0.627 | $0.0441 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000585 | $0.585 |
| Document summary | 8,000 | 1,000 | $0.00461 | $4.61 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0151 | $15.10 |
| Long-context analysis | 150,000 | 5,000 | $0.0693 | $69.25 |
Specs
Context window
123K
tokens
Max output
16K
tokens
Input modalities
image, text
Tokenizer
Other