Meta
Muse Spark 1.3 token cost
Meta's Muse Spark 1.3 multimodal reasoning model for long-horizon agentic coding at $1.25/$4.25 per 1M.
Published list rates
Input
$1.25
per 1M tokens
Output
$4.25
per 1M tokens
Cached input
$0.15
per 1M tokens
Context window
1,048,576
tokens
Pricing source: Meta Model API pricing
Estimate cost
Estimate from text
Calculate from a token total
Project monthly volume
Daily requests × tokens per request × 30 days.
Estimated cost
- Estimated tokens
- 100,000
- Characters
- 400,000
- Words
- 75,000
- Input tokens
- 70,000
- Output tokens
- 30,000
- Input cost
- $0.0875
- Output cost
- $0.1275
- Total cost
- $0.215
- Combined price per 1M tokens
- $2.15
- Estimated monthly cost
- $129.00
- Estimated daily cost
- $4.30
Cost as volume grows
What Muse Spark 1.3 costs if you only send tokens, only get a reply, or do both (70% in / 30% out). Rows start small and go up to huge traffic.
| Tokens | Input only | Output only | Mix (70% in / 30% out) |
|---|---|---|---|
| 1 | $0.000001 | $0.000004 | $0.000002 |
| 10 | $0.000013 | $0.000043 | $0.000022 |
| 100 | $0.000125 | $0.000425 | $0.000215 |
| 200 | $0.00025 | $0.00085 | $0.00043 |
| 300 | $0.000375 | $0.001275 | $0.000645 |
| 400 | $0.0005 | $0.0017 | $0.00086 |
| 500 | $0.000625 | $0.002125 | $0.001075 |
| 1,000 | $0.00125 | $0.00425 | $0.00215 |
| 2,000 | $0.0025 | $0.0085 | $0.0043 |
| 5,000 | $0.00625 | $0.02125 | $0.01075 |
| 10,000 | $0.0125 | $0.0425 | $0.0215 |
| 25,000 | $0.03125 | $0.10625 | $0.05375 |
| 50,000 | $0.0625 | $0.2125 | $0.1075 |
| 100,000 | $0.125 | $0.425 | $0.215 |
| 250,000 | $0.3125 | $1.0625 | $0.5375 |
| 500,000 | $0.625 | $2.125 | $1.075 |
| 1,000,000 | $1.25 | $4.25 | $2.15 |
| 5,000,000 | $6.25 | $21.25 | $10.75 |
| 10,000,000 | $12.50 | $42.50 | $21.50 |
| 50,000,000 | $62.50 | $212.50 | $107.50 |
| 100,000,000 | $125.00 | $425.00 | $215.00 |
| 500,000,000 | $625.00 | $2,125.00 | $1,075.00 |
| 1,000,000,000 | $1,250.00 | $4,250.00 | $2,150.00 |
| 10,000,000,000 | $12,500.00 | $42,500.00 | $21,500.00 |
| 100,000,000,000 | $125,000.00 | $425,000.00 | $215,000.00 |
Tokens for a fixed budget
How far a fixed spend goes on Muse Spark 1.3 at these list rates.
| Budget | Input tokens | Output tokens | Mixed tokens (70/30) |
|---|---|---|---|
| $0.01 | 8,000 | 2,353 | 4,651 |
| $0.1 | 80,000 | 23,529 | 46,512 |
| $0.5 | 400,000 | 117,647 | 232,558 |
| $1.00 | 800,000 | 235,294 | 465,116 |
| $5.00 | 4M | 1.18M | 2.33M |
| $10.00 | 8M | 2.35M | 4.65M |
| $20.00 | 16M | 4.71M | 9.3M |
| $25.00 | 20M | 5.88M | 11.6M |
| $30.00 | 24M | 7.06M | 14M |
| $50.00 | 40M | 11.8M | 23.3M |
| $100.00 | 80M | 23.5M | 46.5M |
| $250.00 | 200M | 58.8M | 116.3M |
| $500.00 | 400M | 117.6M | 232.6M |
| $1,000.00 | 800M | 235.3M | 465.1M |
| $5,000.00 | 4B | 1.18B | 2.33B |
| $10,000.00 | 8B | 2.35B | 4.65B |
At these rates
- A workload with 70% input and 30% output costs $2.15 per 1 million total tokens and $215.00 per 100 million.
- At the same token count, output costs 3.4 times the input rate. Response length therefore deserves its own budget limit.
- Filling the 1,048,576-token context window with input alone would cost about $1.3107, before any output.
- Cached input is $0.15 per million, 88% below standard input when the workload meets the provider’s cache rules.
Standard tier: prompts are not used to train Meta models. No long-context premium across the 1.05M window; cache reads are $0.15 per 1M. Web search grounding is $2.50 per 1,000 queries.
These figures use public list prices. Cache eligibility, batch or priority modes, long-context surcharges, discounts, and regional billing can change the invoice.