OpenRouter Fusion · Budget (Jun 2026) 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 44 challenges.
We built OpenRouter Fusion · Budget (Jun 2026) a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
OpenRouter Fusion · Budget (Jun 2026) 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 44 challenges.
We built OpenRouter Fusion · Budget (Jun 2026) a whole page. Gave it the spotlight. And now, in the spirit of fairness, here are models that would like a word.
OpenRouter Fusion (Budget preset, June 2026 snapshot) turns a single prompt into a multi-model deliberation using cheaper panel members. A panel — Gemini 3 Flash, DeepSeek V3.2, and Kimi K2.7 Code — analyzes the prompt in parallel with web search and web fetch enabled, then a judge model (Gemini 3 Flash) synthesizes their answers into one response, weighing consensus, contradictions, partial coverage, unique insights, and blind spots. Because it runs every panel member plus a judge, a request is priced as the sum of those completions — far less than the Quality panel. Reach for Fusion when a single model isn't enough but cost matters. The panel drifts over time; this is the June 2026 snapshot.
OpenRouter Fusion isn't a single model. Your prompt fans out to a panel of 3 models — running in parallel with web search and web fetch — and a judge synthesizes their answers into one response. The panel drifts over time, so this page is the Jun 2026 snapshot.
Routed via openrouter/fusion. Each request runs every panel member plus the judge, so it's priced as the sum of those completions rather than a single model.
Use OpenRouter Fusion · Budget (Jun 2026) 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""openrouter/fusion" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
44 outputs from OpenRouter Fusion · Budget (Jun 2026)
OpenRouter Fusion (Budget preset, June 2026 snapshot) turns a single prompt into a multi-model deliberation using cheaper panel members. A panel — Gemini 3 Flash, DeepSeek V3.2, and Kimi K2.7 Code — analyzes the prompt in parallel with web search and web fetch enabled, then a judge model (Gemini 3 Flash) synthesizes their answers into one response, weighing consensus, contradictions, partial coverage, unique insights, and blind spots. Because it runs every panel member plus a judge, a request is priced as the sum of those completions — far less than the Quality panel. Reach for Fusion when a single model isn't enough but cost matters. The panel drifts over time; this is the June 2026 snapshot.
OpenRouter Fusion isn't a single model. Your prompt fans out to a panel of 3 models — running in parallel with web search and web fetch — and a judge synthesizes their answers into one response. The panel drifts over time, so this page is the Jun 2026 snapshot.
Routed via openrouter/fusion. Each request runs every panel member plus the judge, so it's priced as the sum of those completions rather than a single model.
Use OpenRouter Fusion · Budget (Jun 2026) 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""openrouter/fusion" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
44 outputs from OpenRouter Fusion · Budget (Jun 2026)