Provider
Defaultdefault
muse-spark-1.3:meta-ai(default, suffix optional)Input $/1M
0.8875
Output $/1M
3.0175
Context
1M
Availability
—
TTFT
—
Speed
—
Cache hit
—
Caching
yes
GetVibeAPITheme
Language
Text
Muse Spark 1.3 API — how to connect and pay
A high-performance model tuned for a broad range of tasks.
Input ($/1M)
0.8875
Output ($/1M)
3.0175
Cache: read / write ($/1M)
0.08875 / 0.8875
Context
1M
Prices in $, updated October 25, 2026.
Performance
Last 7 days: responses / client requests that reached a supplier. Retries of one request count once; input checks, disabled routes, and client cancellations do not lower model quality.
Availability
97.10%
client requests over 7 days
Average latency
33.29 s
to full response
TTFT
19.99 s
to first token
Speed
141 tok/s
generation speed, tok/s (median)
Strengths
- OpenAI-compatible access
- Single key for all models
Good for
- Chat assistants
- Automation
- Text processing
- Product integration
Capabilities
- Context
- 1M tokens
- Max output
- not listed
- Input
- text
- Tool calling
- supported
- JSON mode
- supported
- Vision
- no
- Reasoning
- minimal, low, medium, high, xhigh, max — Reasoning tokens are billed at the output rate
Muse Spark 1.3 from Meta: a general-purpose reasoning model with tools and a 1M-token context. It reasons very heavily (roughly 650–5,400 reasoning tokens on a short question), so set a generous max_tokens: a small limit returns an empty response (finish_reason=length).
Providers
Comparison of public providers for this model: price, availability, TTFT, speed and cache. No traffic yet — available probes shown, otherwise «—».
| Provider | Input $/1M | Output $/1M | Context | Availability | TTFT | Speed | Cache hit | Caching |
|---|---|---|---|---|---|---|---|---|
Defaultdefault muse-spark-1.3:meta-ai(default, suffix optional) | 0.8875 | 3.0175 | 1M | — | — | — | — | yes |
Offers
One line per price level: our input / output price per 1M tokens, the discount off the official list price, and how many connected merchant subscription accounts are offering there.
:command-codecommand-code
$0.8929 / $3.04
official $1.25 / $4.25
:meta-aimeta-ai
Typical price you actually pay: $0.7657 / $2.6 per 1M tokens
Based on 236 paid requests, last 7 days
$0.8875 / $3.02
$0.8929 / $3.04
official $1.25 / $4.25
OpenAI-compatible endpoint
POST https://getvibeapi.com/v1/chat/completionsAuthorization
Pass your API key in the Bearer header. Keys start with sk-pv-.
Authorization: Bearer $GETVIBE_API_KEYResponse format
Responses follow the Chat Completions contract: the text is in choices[0].message.content, token usage is in usage.
First request
All examples use the public model address muse-spark-1.3.
curl https://getvibeapi.com/v1/chat/completions \
-H "Authorization: Bearer $GETVIBE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-spark-1.3",
"messages": [
{
"role": "user",
"content": "Explain quantum computing in simple terms"
}
],
"stream": false
}'Chat Completions
Fields are generated from the service's live OpenAPI schema.
Field
modelType
string
Required
yes
Description
Public model ID in vendor/model form (OpenRouter-style), e.g. anthropic/claude-opus-5. The bare claude-opus-5 spelling is accepted as an input alias and bills identically. model:alias pins a channel, e.g. openai/gpt-5.6-sol:yellow. GET /v1/models lists one ID per model by default; ?variants=1 returns the full list.
Field
messagesType
array
Required
yes
Description
No description
Field
streamType
boolean
Required
no
Description
Stream the response as server-sent events (SSE)Default: false
Field
max_tokensType
integer
Required
no
Description
Maximum number of tokens in the response
Field
temperatureType
number
Required
no
Description
Sampling randomness, 0–2Default: 1
Field
top_pType
number
Required
no
Description
No description
Field
reasoning_effortType
string
Required
no
Description
Reasoning level for Chat Completions. The supported values depend on the model.none · minimal · low · medium · high · xhigh · max
Field
toolsType
array
Required
no
Description
List of tools (function calling)
Field
tool_choiceType
string
Required
no
Description
auto, none, required or a specific tool
Field
response_formatType
object
Required
no
Description
Force JSON output
| Field | Type | Required | Description |
|---|---|---|---|
model | string | yes | Public model ID in vendor/model form (OpenRouter-style), e.g. anthropic/claude-opus-5. The bare claude-opus-5 spelling is accepted as an input alias and bills identically. model:alias pins a channel, e.g. openai/gpt-5.6-sol:yellow. GET /v1/models lists one ID per model by default; ?variants=1 returns the full list. |
messages | array | yes | No description |
stream | boolean | no | Stream the response as server-sent events (SSE)Default: false |
max_tokens | integer | no | Maximum number of tokens in the response |
temperature | number | no | Sampling randomness, 0–2Default: 1 |
top_p | number | no | No description |
reasoning_effort | string | no | Reasoning level for Chat Completions. The supported values depend on the model.none · minimal · low · medium · high · xhigh · max |
tools | array | no | List of tools (function calling) |
tool_choice | string | no | auto, none, required or a specific tool |
response_format | object | no | Force JSON output |
Muse Spark 1.3 API
A high-performance model tuned for a broad range of tasks.
Install
pip install openaiQuick start
from openai import OpenAI
client = OpenAI(
api_key="sk-pv-...",
base_url="https://getvibeapi.com/v1",
)
response = client.chat.completions.create(
model="muse-spark-1.3",
messages=[{"role": "user", "content": "Explain quantum computing in simple terms"}],
)
print(response.choices[0].message.content)Configuration
- base_url
https://getvibeapi.com/v1- model
muse-spark-1.3- api_key
- GetVibe key from the dashboard
Full documentation: getvibeapi.com/docs.
Key facts
The live catalog contains 74 text models.
Muse Spark 1.3: 0.8875 $ input and 3.0175 $ output per 1M tokens.
FAQ about the Muse Spark 1.3 API
How much does Muse Spark 1.3 cost?
The price of Muse Spark 1.3: $0.8875 per 1M input · $3.0175 per 1M output tokens. Pay only for the tokens you use — no subscriptions or flat fees.
Is it compatible with the OpenAI SDK?
Yes, the API is fully OpenAI-compatible. Just change base_url to https://getvibeapi.com/v1 and set your key — the rest of the code stays the same.