# Run GLM-OCR, DeepSeek-OCR-2, Dots.mocr with an OpenAI Compatible API

> Source: <https://www.vlm.run/product/gateway>
> Published: 2026-08-19 18:49:17+00:00

### Multimodal, Multitask

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

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

| Model | Capabilities | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
dots.mocr
| markdown | 32K | $0.15 | $0.30 |
Florence-2
| ocrdetectioncaption | — | $0.01 | $0.01 |
PP-OCRv6
| ocr | — | $0.01 | $0.20 |
DeepSeek-OCR-2
| markdownocr | 32K | $0.06 | $0.12 |
GLM-OCR
| markdown | 8K | $0.10 | $0.20 |
PaddleOCR-VL
| markdownocr | 16K | $0.05 | $0.10 |
Qwen3.5 0.8B
| chatcaptiondetection | 262K | $0.08 | $0.15 |
LightOnOCR Coming soon
| markdown | - | — | — |
Unlimited-OCR Coming soon
| markdownocr | — | — | — |
Qwen3.8 27B Coming soon
| chatcaptiondetection | — | — | — |
Gemma 4 26B-A4B Coming soon
| chatcaptiondetection | — | — | — |
SAM 3 Coming soon
| segmentation | — | — | — |
RF-DETR Large Coming soon
| detection | — | — | — |
ViTPose+ Coming soon
| pose | — | — | — |

14 of 14 models

Pricing calculator

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

Estimates vs typical OCR, Document AI, and frontier VLM pricing.[Source: llm-prices.com](https://www.llm-prices.com/current-v1.json)

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.

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

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

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.

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

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

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

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

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

Use cases

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

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

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.

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

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