Meta
Muse Spark 1.2
meta/muse-spark-1.2-contributor
Meta Muse Spark 1.2 is a reasoning model with a 1M-token context that accepts text, images, video, audio, and PDF input, plus tool calling and structured outputs.
Pricing
| Input | $0.065per 1M tokens |
|---|---|
| Output | $0.13per 1M tokens |
| Cached input | $0.0013per 1M tokens read from cache |
Specifications
| Context window | 1.05Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | Meta |
| Capabilities | Vision · Reasoning · Function calling |
| Input types | text, image, video |
Use Muse Spark 1.2
Point your existing OpenAI SDK at xKiro and pass meta/muse-spark-1.2-contributor as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="meta/muse-spark-1.2-contributor",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning
Related models
- DeepSeek V4 FlashFree
- DeepSeek V4 Flash 0731$0.091
- DeepSeek V4 Flash Vision$0.143
- DeepSeek V4 ProFree
- DeepSeek V4 Pro 0813$0.2828
- Qwen3 Coder PlusFree
Call Muse Spark 1.2 through the same endpoints you already use.
Get an API key