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Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...
At a glance
- Context window
- 1Mtokens
- Max output
- 944Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
CapabilitiesReasoningVisionToolsStructured output
InputTextImageVideoFileAudio
OutputText
ReasoningSupportedxhighhighmediumlowminimal
Performance
Reference uptime
100%
Aug 18Sep 16
Median latency
4,267 ms
Aug 18Sep 16
Throughput
90.3 tok/s
Aug 18Sep 16
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Popularity
- Current rank
- —
- Rank change, 7 days
- —
Daily tokens · 90 days
39.3B
Jun 18Sep 15
Ranked by daily token volume across the global model market; the figure above the chart is the daily average.
Supported parameters
include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="meta/muse-spark-1.2-contributor",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.