How much does Janus Pro 7B cost via Railwail?

No monthly minimum, no subscription. Start with €5 free credits.

What is the context window of Janus Pro 7B?

Janus Pro 7B supports a unknown context window — enough for typical AI workloads.

How fast is Janus Pro 7B?

Latency depends on prompt length and load — typically 200ms to 2s for short prompts. We measure p50/p95 in real-time on /rankings.

Is Janus Pro 7B better than Flux 1.1 Pro Ultra?

It depends on your use case. Janus Pro 7B (Replicate) and Flux 1.1 Pro Ultra (Black Forest Labs) are both strong choices in image generation. Compare them side-by-side at /compare/janus-pro-7b-vs-flux-pro-ultra.

Does Janus Pro 7B support image input (vision)?

Yes — Janus Pro 7B accepts image inputs in addition to text. Send images via the standard OpenAI-compatible `messages` array with `image_url` content blocks. Supported formats: text, image.

Janus Pro 7B

Name: Janus Pro 7B
Brand: Replicate
SKU: janus-pro-7b
Availability: InStock

Replicate

Image Generation

DeepSeek's unified multimodal model. Decouples vision encoding for both understanding and generation tasks.

Generate with Janus Pro 7B

Describe what you want and pick a size — the image renders inline.

Size

Result appears here

TL;DR·Last updated May 16, 2026

Janus Pro 7B is image generation AI model from Replicate, priced at €0.000 per 1M input tokens with a unknown context window.

Try Janus Pro 7B

Prompt

Aspect Ratio

Quality

Pricing

Price per Generation

Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Janus Pro 7B into your application.

Install

npm install railwail

JavaScript / TypeScript

import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("janus-pro-7b", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("janus-pro-7b", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);

Specifications

Developer

Replicate

Deep dive — DeepSeek's Janus Pro 7B

About DeepSeek

Founded 2023 · Hangzhou, China

DeepSeek (深度求索) is a Chinese AI research lab founded in May 2023 in Hangzhou by Liang Wenfeng, the founder of the quant hedge-fund High-Flyer (which funds the lab). DeepSeek became globally prominent in late 2024 and early 2025 with the release of DeepSeek-V3 (Dec 2024), DeepSeek-R1 (Jan 2025) and the Janus multimodal family. The Janus series is DeepSeek's unified understanding-and-generation model: Janus (Oct 2024), JanusFlow (Nov 2024) and Janus Pro (Jan 2025) extend a single Transformer to both interpret images and generate them with a decoupled visual encoder design. All Janus models are open-sourced under a permissive license on Hugging Face and GitHub.

Visit DeepSeek →

Architecture

Unified autoregressive multimodal Transformer (understanding + image generation)

Janus-Pro-7B (January 2025) is the largest member of the Janus family from DeepSeek. The model unifies multimodal understanding and image generation in a single autoregressive Transformer, but uniquely decouples the visual encoders for the two tasks: a SigLIP-style ViT encoder is used for image understanding (so visual features are semantic), while a VQ tokeniser based on LlamaGen is used for image generation (so visual features are reconstruction-oriented). Both feature paths are projected to the same 7B LLM backbone, which generates either text or image tokens depending on the task. For image generation Janus-Pro produces 384x384 images by autoregressive sampling of VQ tokens which are then decoded by the LlamaGen decoder. Janus-Pro improves over Janus by scaling data to ~90M image-text pairs and adding a second stage of supervised fine-tuning. DeepSeek reports that Janus-Pro-7B beats DALL-E 3, SD3-Medium and SDXL on GenEval and DPG-Bench, despite being a much smaller and unified model.

Parameters: 7B parameters (Janus-Pro-7B)
Context: 4.1K tokens

What it can do

Unified image understanding + image generation in one 7B model
Open weights under permissive DeepSeek license
Outperforms DALL-E 3 and SD3-Medium on GenEval (per DeepSeek paper)
384x384 native generation resolution
Compatible with Hugging Face Transformers and vLLM
Useful for multimodal agents that both see and draw
Strong instruction-following thanks to LLM-style backbone
Best for: research, multimodal agents, prototyping unified pipelines, fine-tuning.

Training & License

Pretrained on a mix of ~90M image-text pairs, text-only data and image-only data. Janus-Pro-7B adds extra supervised fine-tuning stages and a larger unified dataset compared to Janus 1B.

License: DeepSeek Janus License — open weights, free for research and commercial use with attribution and standard restrictions.

Known limitations