Riverflow V2 Pro

Other chatvisionimage_gentool_use Free

API ID: sourceful/riverflow-v2-pro-20260130

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Riverflow V2 Pro

Riverflow V2 Pro is the most powerful variant of Sourceful's Riverflow 2.0 lineup, best for top-tier control and perfect text rendering. The Riverflow 2.0 series represents SOTA performance on image generation and editing tasks, using an integrated reasoning model to boost reliability and tackle complex challenges. Pricing is $0.15 per 1K/2K output image and $0.33 per 4K output image. Additional features: - Custom font rendering via font_inputs ($0.03/font, max 2) - Image enhancement via super_resolution_references ($0.20/reference, max 4) See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

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Price Ranking
#6 lowest price among 1240 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
8k
Max Output
โ€”
Release Date
2026-02-02
Capabilities
chat vision image_gen tool_use
Input Modalities
textimage
Output Modalities
image

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance
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This model is completely free!

No token costs - use it without worrying about API bills.

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Other Model Lineup

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Model Input Output Context Capabilities
Riverflow V2 Pro Current Free Free 8k chat vision image_gen tool_use
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Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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๐Ÿš€ Quick Start

Get started with Riverflow V2 Pro API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="sourceful/riverflow-v2-pro-20260130",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)