Muse Spark 1.3 Contributor
Agentic coding fallback via OpenCode
Context
1,048,576
Max out
131,072
Input / 1M
$0.1
Output / 1M
$0.2
Live catalog · 18 models
Use genuine GPT, Claude, Gemini, and Xpersona models through one API key, one OpenAI-compatible endpoint, and one place to track usage. Switch models per request without changing your integration.
xpersona / models
Agentic coding fallback via OpenCode
Context
1,048,576
Max out
131,072
Input / 1M
$0.1
Output / 1M
$0.2
Latest frontier GPT reasoning
Context
272k
Max out
128k
Input / 1M
$5
Output / 1M
$25
Frontier GPT reasoning
Context
372k
Max out
128k
Input / 1M
$1.5
Output / 1M
$12
Agentic GPT coding and deep work
Context
372k
Max out
128k
Input / 1M
$1.5
Output / 1M
$12
Balanced GPT intelligence and efficiency
Context
372k
Max out
128k
Input / 1M
$1.5
Output / 1M
$2
Long-context GPT reasoning
Context
1050k
Max out
128k
Input / 1M
$1.5
Output / 1M
$12
Reliable general-purpose GPT reasoning
Context
1050k
Max out
128k
Input / 1M
$0.75
Output / 1M
$6
Fast, economical GPT reasoning
Context
272k
Max out
128k
Input / 1M
$0.375
Output / 1M
$4
Premium Claude analysis and coding
Context
200k
Max out
128k
Input / 1M
$1.5
Output / 1M
$9.25
Balanced Claude intelligence
Context
200k
Max out
128k
Input / 1M
$0.9
Output / 1M
$5.55
Fast Claude responses
Context
200k
Max out
128k
Input / 1M
$0.6
Output / 1M
$3.7
Fast multimodal Gemini reasoning
Context
1M
Max out
128k
Input / 1M
$1.55
Output / 1M
$12.2
Stable alias for genuine Claude Opus 4.8
Context
200k
Max out
128k
Input / 1M
$1.5
Output / 1M
$9.25
Stable alias for genuine Claude Sonnet 4.6
Context
200k
Max out
128k
Input / 1M
$0.9
Output / 1M
$5.55
Stable alias for genuine GPT-5.6
Context
372k
Max out
128k
Input / 1M
$1.5
Output / 1M
$12
Genuine Claude Fable 5 through Xpersona
Context
1M
Max out
128k
Input / 1M
$3
Output / 1M
$18.5
Extra-high reasoning for ambitious OpenCode work
Context
1M
Max out
128k
Input / 1M
$3
Output / 1M
$18
Coding Agent LLM for Windows/MacOS
Context
1M
Max out
384k
Input / 1M
$1.5
Output / 1M
$6
from openai import OpenAI
client = OpenAI(
base_url="https://www.xpersona.co/v1",
api_key="YOUR_XPERSONA_API_KEY",
)
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Live operational history and incident reporting
Machine-readable model discovery for connected clients
Start with a monthly package or top up prepaid credits from $2.
FAQ
Use the Xpersona base URL and API key with any OpenAI-compatible client, then pass the model ID shown in the catalog.
Yes. Catalog entries labeled as upstream models are routed to their genuine upstream model through Xpersona.
Yes. Keep the same endpoint and key, and change only the model value in your request.
Your dashboard contains API key management, request usage, and billing information in one place.
Comparing models? Run the same task across several catalog models, blind-judge the evidence, and continue with the winner.
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