Meta
Meta Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
- Context window
- 1.0Mtokens
- Max output
- 944Ktokens
- Input
- $1.25/ 1M
- Output
- $4.25/ 1M
Quick start
from openai import OpenAI
client = OpenAI(
base_url="https://neurongate.net/v1",
api_key="sk-ng-your-api-key",
)
completion = client.chat.completions.create(
model="meta/muse-spark-1.3",
messages=[{"role": "user", "content": "Hello!"}],
)
print(completion.choices[0].message.content)Cost
| Example request | Tokens | Cost |
|---|---|---|
| Short prompt | 1K in | $0.00125 |
| Typical chat turn | 1K in · 500 out | $0.003375 |
| Document analysis | 10K in · 2K out | $0.021 |
| Long context | 100K in · 10K out | $0.1675 |
Prices in USD. Billed per token actually used, from a balance prepaid in USDT, USDC, ETH or BTC.
Frequently asked questions
What is Meta Muse Spark 1.3?
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
How much does Meta Muse Spark 1.3 cost?
Meta Muse Spark 1.3 is priced at $1.25 per 1 million input tokens and $4.25 per 1 million output tokens when accessed via NeuronGate. You pay per token — no subscriptions required. Top up with crypto (USDT, USDC, ETH, BTC).
Does Meta Muse Spark 1.3 support streaming?
Yes, Meta Muse Spark 1.3 supports streaming responses via NeuronGate's API. Use the standard "stream": true parameter in your request.
What is the context window of Meta Muse Spark 1.3?
Meta Muse Spark 1.3 has a context window of 1.0M tokens (~786K words). Maximum output is 944K tokens.
Does Meta Muse Spark 1.3 support function calling (tools)?
Yes, Meta Muse Spark 1.3 supports function calling / tool use via NeuronGate's standard API.
How do I use Meta Muse Spark 1.3 with NeuronGate?
Create a NeuronGate account, top up your balance with crypto, generate an API key, and use the model id meta/muse-spark-1.3 in your requests. NeuronGate uses the OpenAI-compatible API format — set your base URL to https://neurongate.net/v1.