One unified API, Any Visual Model.

Document OCR, captioning, and multi-modal chat: every visual capability behind one MCP server.

Supported providers

  • Google
  • OpenAI
  • Anthropic
  • xAI
  • Meta
  • Moonshot
  • Microsoft
  • Qwen
  • DeepSeek
  • ZAI
  • Baidu
  • Roboflow
  • LightOn
  • RedNote
  • USYD
  • Hugging Face
Explore models

7 visual models. One endpoint.

ModelCapabilitiesContextInput / 1MOutput / 1M
markdown
32K$0.15$0.30
ocrdetectioncaption
$0.01$0.01
ocr
$0.01$0.20
markdownocr
32K$0.06$0.12
markdown
8K$0.10$0.20
markdownocr
16K$0.05$0.10

Qwen3.5 0.8B

qwen/qwen3.5-0.8b
chatcaptiondetection
262K$0.08$0.15

LightOnOCR

Coming soon
lightonai/lightonocr-1b-1025
markdown
-

Unlimited-OCR

Coming soon
baidu/unlimited-ocr
markdownocr

Qwen3.8 27B

Coming soon
qwen/qwen3.8-27b
chatcaptiondetection

Gemma 4 26B-A4B

Coming soon
google/gemma-4-26b-a4b
chatcaptiondetection

SAM 3

Coming soon
facebook/sam3
segmentation

RF-DETR Large

Coming soon
roboflow/rf-detr-large
detection
pose

14 of 14 models

Pricing calculator

Dirt-cheap Document OCR.

Pick a document type, page volume, and OCR model. See cost savings versus closed vision APIs.

Page volume / month

Gateway OCR tokens (in / out)

120M - 250M / 100M

Frontier billed tokens (in / out)

250M / 200M

2.5K image tokens per page; output includes reasoning at 2× OCR text.

Total cost savingsfrom frontier models

$7.2K - $7.2K

You savefrom frontier models

99 - 100%/mo

Documents / month

100Kpages

Cost comparison

VLM Run Gateway
Cheapest - most expensive
$19 - $68
OCR APIs
Textract, Azure Doc AI
$150 - $1K
Document AI APIs
Reducto, LlamaParse, Extend
$1K - $6K
Frontier VLMs
Gemini, Claude, GPT
$938 - $7.3K
$0$1.8K$3.6K$5.4K$7.3K

Estimates vs typical OCR, Document AI, and frontier VLM pricing.Source: llm-prices.com

A vision-only gateway, built for builders.

LLM routers and gateways route to 100s of LLMs, yet only a handful of VLMs, and often no OCR or classical CV models. Visual AI deserves its own stack.

  • Multimodal, Multitask

    One catalog spanning multi-modal inputs and multi-task outputs: OCR, detection, segmentation, pose, keypoints, and more.

  • Chat Completions Native

    OCR, captioning, and multimodal chat run through the same OpenAI-compatible chat completions API you already use.

  • Orchestration Built-In

    Send a 500-page PDF or a 2-hour video in a single call. The gateway chunks, batches, and reassembles for you. No pipelines to build.

  • Structured Outputs, Out of the Box

    JSON-schema enforcement on every call. CV wrappers emit fixed schemas; VLMs honor response_format.

  • Open Models, No Lock-In

    Every model is open-weight, served through the OpenAI-compatible API you already use. Swap models or providers freely, your client code never changes.

  • Coming soon

    Agent-native vision, via MCP

    Give any MCP client instant access to the full visual model catalog. Agents see, read, and reason over images out of the box.

Built for production visual AI.

Optimized for production workloads and cost-efficiency. Every model deployed gets its own performance tune-up.

  • Models Supported

    7

  • p50 Latency

    <100ms

  • Uptime SLA

    99.9%

  • Type II · HIPAA · BAA

    SOC 2

123456789101112131415
from openai import OpenAI

client = OpenAI(base_url="https://gateway.vlm.run/v1/openai/",
                api_key="<VLM_RUN_API_KEY>")
                
resp = client.chat.completions.create(
    model="qwen/qwen3.5-0.8b",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "What is happening in this image?"},
        {"type": "image_url", "image_url": {"url": "city.jpg"}},
    ]}],
)
print(resp.choices[0].message.content)

# "A busy city street at dusk ...."

Vision-native Chat Completions.

Point the OpenAI SDK at the gateway and swap the model. Same signature, exhaustive visual model catalog.

Use cases

What you can build with the Gateway.

Compose vision models like building blocks. One SDK. One key. One bill.

Document ingestion pipelines

Layout, OCR, and markdown extraction across contracts, statements, and forms, at sub-cent per-page economics.

Multi-modal chatbots and agents

Build powerful multi-modal chatbots and agents with VLMs that pack native support for multi-modal inputs such as images, PDFs, or videos in a single chat completion.

Media and asset tagging

Auto-caption, tag, and index large image and video libraries for search, dedup, and recommendations.

Visual AI apps

Coming soon

Detection and segmentation behind one URL. Ship visual features without standing up CV infra.

Get an API key. Ship vision today.