Muse Spark Open

Chat Completions

muse-spark-open

Meta Llama|Created Oct 17, 2026|1.0M context

Chat Completions

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers actually work in.

Overview Specifications Activity Performance Uptime Examples API Reference

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Pricing-50%

Pay-as-you-go rates for this model. More details in the billing guide.

Input Tokens (1M)

$0.63

Cached Input Tokens (1M)

$0.07

Output Tokens (1M)

$2.13

Capabilities

Input Modalities

TextImageAudioFile

Supported Parameters

Available parameters for API requests

Max Completion TokensTemperatureTop PFrequency PenaltyPresence PenaltyToolsTool ChoiceParallel Tool CallsStopResponse FormatLogit BiasReasoning EffortLogprobsPrediction

Usage Analytics

Token usage of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="muse-spark-open",
    messages=[
        {"role": "user", "content": "What's 2+2?"}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)

Muse Spark Open

Input Tokens (1M)

Cached Input Tokens (1M)

Output Tokens (1M)

Input Modalities

Muse Spark Open

Input Tokens (1M)

Cached Input Tokens (1M)

Output Tokens (1M)

Input Modalities

Output Modalities