Muse Spark 1.2
everyais/muse-spark-1.2
Muse Spark 1.2 (everyais/muse-spark-1.2) availability, capabilities, context limits, and public reference pricing on everyais.
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- Not published
- Context window
- 1.0M
- Price unit
- Per 1M tokens
- Maximum output
- -
- Model reference price (USD)
- Input / 1M tokens
- $1.25
- Output / 1M tokens
- $4.25
- Cache read / 1M tokens
- $0.15
Capabilities
- ✓ Vision
Supported endpoints
- /v1/chat/completions
Benchmarks
Cost per task and Intelligence Index performance from Artificial Analysis.
- Cost per task · USD / task
- $0.9747
- Among models offered by everyais #5 / 10
- Performance · Intelligence Index
- 39.6
- Among models offered by everyais #5 / 11
Evaluation target: Muse Spark 1.2 (xhigh) · v4.3
AA evaluation costs may differ from everyais pricing.
Usage and availability trend
Last 6 days · 2026-09-02 Input 14 · Output 64 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/muse-spark-1.2",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Other models in this family
Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.