Baidu: ERNIE 4.5 VL 424B A47B

Public pricingIntelligence 79/100Medium memoryविज़नटूल उपयोग

Baidu: ERNIE 4.5 VL 424B A47B एक मल्टीमॉडल मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 123K tokens का context और संतुलित लागत profile जोड़कर vision-language understanding and content analysis में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.42/1M

Output

$1.25/1M

Cached

$0.06/1M

Batch

$0.28/1M

Calculate your ERNIE 4.5 VL 424B A47B bill.

Set your workload — see cost at your exact volume.

What would ERNIE 4.5 VL 424B A47B cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

ERNIE 4.5 VL 424B A47B at a glance.

Memory

123,000

tokens

Max reply

16,000

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Mar 2025

Training cutoff

Dec 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick ERNIE 4.5 VL 424B A47B

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

ERNIE 4.5 VL 424B A47B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, ERNIE 4.5 VL 424B A47B costs roughly $82 per month. Input is $0.42 /1M tokens and output is $1.25 /1M tokens.
ERNIE 4.5 VL 424B A47B has a 123,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 23,063 words of input and history in a single call.
Beyond text generation, ERNIE 4.5 VL 424B A47B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
ERNIE 4.5 VL 424B A47B was released in March 2025, with training data cut off around December 2024.
Models in a similar class include ERNIE 4.5 VL 28B A3B, Mistral Medium 3, Mistral Medium 3.1. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare ERNIE 4.5 VL 424B A47B against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard