meldport/muse-spark-1.1Model origin unverified. View checks
Muse Spark 1.1 is available through Meldport as muse-spark-1.1. Published capabilities: Text, Vision, Cache, Stream, Tools.
MODEL OVERVIEW
Muse Spark 1.1 is available through Meldport as muse-spark-1.1. Published capabilities: Text, Vision, Cache, Stream, Tools.
Use the published model ID in requests to Meldport's API. Check the current pricing, context window, and supported capabilities on this page before sending production traffic. See the quickstart for a request example.
GOOD FIT FOR
BEFORE YOU SHIP
TECHNICAL SPECIFICATIONS
| Model ID | meldport/muse-spark-1.1 |
|---|---|
| Publisher | Meta |
| Capabilities | Text, Vision, Cache, Tools, Stream |
| Context window | 1.05M |
| Lifecycle | active |
| Catalog checked | Nov 6, 2026 |
CURRENT RATES
| Metric | Rate | Unit |
|---|---|---|
| Input | $0.68125 | per million tokens |
| Output | $2.31625 | per million tokens |
| Provider-reported cached input | $0.068125 | per million tokens |
| Minimum charge | $0.00001 | per request |
Provider-reported cached input tokens use the displayed rate. Every request is recorded in the wallet ledger.
QUICKSTART
The same endpoint works from any language.
Send POST /v1/chat/completions with an API key that has inference:invoke. Use meldport/muse-spark-1.1 in the model field. Supply your conversation in messages and set stream: true for streamed output. The published context limit is 1.05M tokens.
This model publishes tool calling. Send function definitions in tools and return tool results in the conversation. Vision inputs are listed for this model. Request fields and output limits · Streaming format · Errors and retry rules
curl https://dev-api.meldport.com/v1/chat/completions \
-H "Authorization: Bearer $MELDPORT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meldport/muse-spark-1.1",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
import requests
response = requests.post(
"https://dev-api.meldport.com/v1/chat/completions",
headers={
"Authorization": f"Bearer {os.environ['MELDPORT_API_KEY']}",
},
json={
"model": "meldport/muse-spark-1.1",
"messages": [{"role": "user", "content": "Hello"}],
},
)
print(response.json())const response = await fetch(
"https://dev-api.meldport.com/v1/chat/completions",
{
method: "POST",
headers: {
Authorization: "Bearer " + process.env.MELDPORT_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "meldport/muse-spark-1.1",
messages: [{ role: "user", content: "Hello" }],
}),
},
);
console.log(await response.json());COMMON QUESTIONS
Use meldport/muse-spark-1.1 in the model field of your API request.
This model currently publishes Text, Vision, Cache, Tools, Stream support through Meldport.
Requests are billed per token. Input costs $0.68125 per million tokens and output costs $2.31625 per million tokens. Provider-reported cached input tokens cost $0.068125 per million tokens; Meldport response caching is bypassed. A minimum charge of $0.00001 applies per request. Charges are deducted from your wallet balance in real time.
Send a request to POST https://dev-api.meldport.com/v1/chat/completions with your Meldport API key and use meldport/muse-spark-1.1 in the model field.
The published context limit is 1.05M tokens.