Meta: Muse Spark 1.3
Meta · meta/muse-spark-1.3
Runs in the cloud, on our API — not on your own machine.
tools always reasons hears
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...
What it costs
Audio input has no separate rate: a recording counts against the input price above.
Final AI-token prices, per million tokens. Bring your own provider key in the app to pay provider rates directly.
What it can do
Effort: max, xhigh, high, medium, low and minimal — medium by default. More effort means more thinking tokens, billed at the output rate.
Benchmarks
| Benchmark | What it measures | Score |
|---|---|---|
| AIME | competition mathematics | 99.2% ± 0.6 |
Scores by Epoch AI, CC BY 4.0. The ± is the margin of error: models inside each other's margins are tied, not ranked. Epoch's notes on this row: source “epoch”.
Dates
Using it
In the 00 app — pick it per agent, and per tier, then build your own agents on it. Get 00.
As a drop-in API — the same model at an OpenAI-compatible endpoint. Two settings:
- Create a workspace API key in the Overblast console — usage bills that workspace's AI tokens, at the prices on this page.
- Point your base URL at
https://brain.deployd.network/ai/v1. Chat completions with streaming, embeddings,/images,/audio/transcriptionsand/videos.
curl https://brain.deployd.network/ai/v1/chat/completions \
-H "Authorization: Bearer ob_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/muse-spark-1.3",
"messages": [{ "role": "user", "content": "Hello" }]
}'
It transcribes too — it takes audio, so the same key reaches it at
https://brain.deployd.network/ai/v1/audio/transcriptions. No per-minute rate: a recording is billed as the tokens it
becomes, at the input price above.
curl https://brain.deployd.network/ai/v1/audio/transcriptions \
-H "Authorization: Bearer ob_live_YOUR_KEY" \
-F file=@audio.mp3 \
-F model=meta/muse-spark-1.3
# → { "text": "…what was said…" }
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