Meta
Muse Spark 1.3 Contributor token cost
Heavily discounted Muse Spark 1.3 tier ($0.10/$0.20 per 1M) in exchange for permission to train on your prompts.
Published list rates
Input
$0.1
per 1M tokens
Output
$0.2
per 1M tokens
Cached input
$0.002
per 1M tokens
Context window
1,048,576
tokens
Pricing source: Meta Model API pricing
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Project monthly volume
Daily requests × tokens per request × 30 days.
Estimated cost
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Cost as volume grows
Muse Spark 1.3 Contributor at rising volume: prompt-only, reply-only, and a mixed chat (70% in, 30% out).
| Tokens | Input only | Output only | Mix (70% in / 30% out) |
|---|---|---|---|
| 1 | $0.0000001 | $0.0000002 | $0.00000013 |
| 10 | $0.000001 | $0.000002 | $0.000001 |
| 100 | $0.00001 | $0.00002 | $0.000013 |
| 200 | $0.00002 | $0.00004 | $0.000026 |
| 300 | $0.00003 | $0.00006 | $0.000039 |
| 400 | $0.00004 | $0.00008 | $0.000052 |
| 500 | $0.00005 | $0.0001 | $0.000065 |
| 1,000 | $0.0001 | $0.0002 | $0.00013 |
| 2,000 | $0.0002 | $0.0004 | $0.00026 |
| 5,000 | $0.0005 | $0.001 | $0.00065 |
| 10,000 | $0.001 | $0.002 | $0.0013 |
| 25,000 | $0.0025 | $0.005 | $0.00325 |
| 50,000 | $0.005 | $0.01 | $0.0065 |
| 100,000 | $0.01 | $0.02 | $0.013 |
| 250,000 | $0.025 | $0.05 | $0.0325 |
| 500,000 | $0.05 | $0.1 | $0.065 |
| 1,000,000 | $0.1 | $0.2 | $0.13 |
| 5,000,000 | $0.5 | $1.00 | $0.65 |
| 10,000,000 | $1.00 | $2.00 | $1.30 |
| 50,000,000 | $5.00 | $10.00 | $6.50 |
| 100,000,000 | $10.00 | $20.00 | $13.00 |
| 500,000,000 | $50.00 | $100.00 | $65.00 |
| 1,000,000,000 | $100.00 | $200.00 | $130.00 |
| 10,000,000,000 | $1,000.00 | $2,000.00 | $1,300.00 |
| 100,000,000,000 | $10,000.00 | $20,000.00 | $13,000.00 |
Tokens for a fixed budget
How far a fixed spend goes on Muse Spark 1.3 Contributor at these list rates.
| Budget | Input tokens | Output tokens | Mixed tokens (70/30) |
|---|---|---|---|
| $0.01 | 100,000 | 50,000 | 76,923 |
| $0.1 | 1M | 500,000 | 769,231 |
| $0.5 | 5M | 2.5M | 3.85M |
| $1.00 | 10M | 5M | 7.69M |
| $5.00 | 50M | 25M | 38.5M |
| $10.00 | 100M | 50M | 76.9M |
| $20.00 | 200M | 100M | 153.8M |
| $25.00 | 250M | 125M | 192.3M |
| $30.00 | 300M | 150M | 230.8M |
| $50.00 | 500M | 250M | 384.6M |
| $100.00 | 1B | 500M | 769.2M |
| $250.00 | 2.5B | 1.25B | 1.92B |
| $500.00 | 5B | 2.5B | 3.85B |
| $1,000.00 | 10B | 5B | 7.69B |
| $5,000.00 | 50B | 25B | 38.5B |
| $10,000.00 | 100B | 50B | 76.9B |
At these rates
- A workload with 70% input and 30% output costs $0.13 per 1 million total tokens and $13.00 per 100 million.
- At the same token count, output costs 2 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 $0.10486, before any output.
- Cached input is $0.002 per million, 98% below standard input when the workload meets the provider’s cache rules.
Contributor tier: prompts and completions may be used to train future Meta models. Cached input is $0.002 per 1M.
These figures use public list prices. Cache eligibility, batch or priority modes, long-context surcharges, discounts, and regional billing can change the invoice.