Riverflow V2.5 Pro performance data on Rival is based on blind head-to-head community voting. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 19 challenges.
We built Riverflow V2.5 Pro a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
Riverflow V2.5 Pro performance data on Rival is based on blind head-to-head community voting. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 19 challenges.
We built Riverflow V2.5 Pro a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs. The Riverflow 2.5 series is a unified text-to-image and image-to-image family that treats generation as a production workflow, using an integrated reasoning model to plan multi-step edits and judge candidates before accepting a result. Reasoning effort is controllable via the reasoning parameter.
Use Riverflow V2.5 Pro in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""sourceful/riverflow-v2.5-pro" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
19 outputs from Riverflow V2.5 Pro
Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs. The Riverflow 2.5 series is a unified text-to-image and image-to-image family that treats generation as a production workflow, using an integrated reasoning model to plan multi-step edits and judge candidates before accepting a result. Reasoning effort is controllable via the reasoning parameter.
Use Riverflow V2.5 Pro in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""sourceful/riverflow-v2.5-pro" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
19 outputs from Riverflow V2.5 Pro