Muse Spark Open API Pricing & Monthly Cost Simulator
Verified 2026 unit economics for Meta Muse Spark Open (meta/muse-spark-open): $1.25/1M uncached input, $0.15/1M cached prefix read, and $4.25/1M output across a 1,048,576-token context window (released 2026-10-15).
Uncached Input (/1M)
$1.25
Cached Prompt Read (/1M)
$0.15 (-88%)
Output Completion (/1M)
$4.25
50% Batch API (In / Out)
Real-time API only (no 50% async batch)
Interactive 30-Day Monthly Spend Simulator
Live Unit-Cost & Prompt Cache Slider (Muse Spark Open)
meta/muse-spark-open
Estimated 30-day spend
$186.00/mo
Cost per 1,000 calls
$6.2000
Monthly savings vs 0% cache
$66.00/mo
Technical Limits & API Capabilities
Context window
1,048,576
Max output tokens
943,718
Workload tier
Coding & Agent
Input modalities
text, image, video, file, audio
Tool Calling: Yes
JSON Schema Strict: Yes
Reasoning Tokens: Supported
Batch API: Unavailable
Same-Category 2026 Model Alternatives (Coding & Agent)
| Model | Provider | Input / Cached ($/1M) | Output ($/1M) | Context / Max Out |
|---|---|---|---|---|
| Muse Spark Open | Meta | $1.25 / $0.15 | $4.25 | 1,048,576 / 943,718 |
| Gemini 4 Hydrogen | $1.5 / $0.075 | $7.5 | 1,048,576 / 943,718 | |
| Gemini 4 Carbon | $2 / $0.1 | $10 | 1,048,576 / 943,718 | |
| Muse Ember | Meta | $0.1 / $0.004 | $0.5 | 1,048,576 / 943,718 |
| GPT-6.1 Terra | OpenAI | $1 / $0.05 | $5 | 1,050,000 / 128,000 |
| MiniMax M3.1 Flash | MiniMax | $0.15 / $0.015 | $0.6 | 1,048,576 / 524,288 |
| Gemini 4 Argon | $2 / $0.1 | $10 | 1,048,576 / 943,718 |
Head-to-Head Matchups Featuring Muse Spark Open
- Mistral Large 4 vs Muse Spark Open — $0.7 vs $1.25 / 1M
Frequently Asked Questions
How much does Muse Spark Open cost per 1 million tokens in 2026?
Muse Spark Open by Meta is billed at $1.25 per 1M uncached input tokens, $0.15 per 1M cached input read tokens (88% cache discount), and $4.25 per 1M output tokens.
What are the context window and max output token limits for Muse Spark Open?
Muse Spark Open supports a 1,048,576-token input context window and up to 943,718 completion output tokens per request, accepting text, image, video, file, audio inputs.
Does Muse Spark Open support strict JSON Schema outputs, tool calling, and Batch API?
Muse Spark Open capability profile: tool calling = Supported, strict JSON Schema structured outputs = Supported, reasoning mode = Supported, and 50% asynchronous Batch API = Not listed.