Baidu

paddleocr-vl-1.5

PaddleOCR-VL-1.5

OCR-specialized visual model for forms, receipts, documents, and extraction-heavy pipelines.

FREEPublic model detailMultimodal Transformer

Params

1B OCR

Context

Document OCR

Max Output

Structured OCR

License

Open

TTFT

N/A

No 5m benchmark sample

5m RPM

N/A

Why pick it

  • Good fit for document AI
  • Free public route

Pricing

TierStandardCachedSiliconFlowSavings
Realtime$0.00 / $0.00N/AN/AN/A
Batch$0.000 / $0.000N/AN/AN/A
Free model.

Production pricing proof

How this route settles on a real request

When the model executes live, response headers can expose X-BatchIn-Provider, X-BatchIn-Route-Reason, X-BatchIn-Effective-Cost-Cents, and X-BatchIn-Uncached-Cost-Cents.
The cached price here means prompt-cache discount on input tokens. Durable response-cache hits are proven separately through X-BatchIn-Response-Cache-Mode and request lookup.
Streaming calls start with X-Request-Id, then resolve final cost, cache mode, and route truth through lookup after completion.
Open request lookupOpen trust hub

Route source of truth

See pricing, request proof, and the upgrade path on one page

Standard, prompt-cache, batch, and SiliconFlow comparison stay visible without leaving the route.
Real requests return X-Request-Id, and buffered calls can expose route reason, billed cost, and uncached cost directly.
BatchIn supports Playground validation first, then batch, white-label, or dedicated capacity conversations.
Talk to the teamOpen pricing

Quick start

OpenAI-compatible surface. Swap the base URL and ship.

Try in PlaygroundOpen pricingTalk to the team
Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.luminapath.tech/v1",
    api_key="BATCHIN_API_KEY"
)

resp = client.chat.completions.create(
    model="paddleocr-vl-1.5",
    messages=[{"role": "user", "content": "Summarize why this model is a fit for my workload."}]
)

print(resp.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.luminapath.tech/v1",
  apiKey: process.env.BATCHIN_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "paddleocr-vl-1.5",
  messages: [{ role: "user", content: "Summarize why this model is a fit for my workload." }],
});

console.log(resp.choices[0]?.message?.content);
cURL
curl https://api.luminapath.tech/v1/chat/completions \
  -H "Authorization: Bearer $BATCHIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "paddleocr-vl-1.5",
    "messages": [{"role":"user","content":"Summarize why this model is a fit for my workload."}]
  }'

Specs

Architecture

Multimodal Transformer

Vendor group

Baidu

Context window

Document OCR

Max output

Structured OCR

Best for

ocr
documents

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