FriendliAI
MiniMax M2.5 (FriendliAI) token cost
MiniMax M2.5 on FriendliAI for agentic coding loops with cache discounts.
Published list rates
Input
$0.3
per 1M tokens
Output
$1.20
per 1M tokens
Cached input
$0.06
per 1M tokens
Context window
200,000
tokens
Pricing source: FriendliAI 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
What MiniMax M2.5 (FriendliAI) 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 | $0.0000003 | $0.000001 | $0.00000057 |
| 10 | $0.000003 | $0.000012 | $0.000006 |
| 100 | $0.00003 | $0.00012 | $0.000057 |
| 200 | $0.00006 | $0.00024 | $0.000114 |
| 300 | $0.00009 | $0.00036 | $0.000171 |
| 400 | $0.00012 | $0.00048 | $0.000228 |
| 500 | $0.00015 | $0.0006 | $0.000285 |
| 1,000 | $0.0003 | $0.0012 | $0.00057 |
| 2,000 | $0.0006 | $0.0024 | $0.00114 |
| 5,000 | $0.0015 | $0.006 | $0.00285 |
| 10,000 | $0.003 | $0.012 | $0.0057 |
| 25,000 | $0.0075 | $0.03 | $0.01425 |
| 50,000 | $0.015 | $0.06 | $0.0285 |
| 100,000 | $0.03 | $0.12 | $0.057 |
| 250,000 | $0.075 | $0.3 | $0.1425 |
| 500,000 | $0.15 | $0.6 | $0.285 |
| 1,000,000 | $0.3 | $1.20 | $0.57 |
| 5,000,000 | $1.50 | $6.00 | $2.85 |
| 10,000,000 | $3.00 | $12.00 | $5.70 |
| 50,000,000 | $15.00 | $60.00 | $28.50 |
| 100,000,000 | $30.00 | $120.00 | $57.00 |
| 500,000,000 | $150.00 | $600.00 | $285.00 |
| 1,000,000,000 | $300.00 | $1,200.00 | $570.00 |
| 10,000,000,000 | $3,000.00 | $12,000.00 | $5,700.00 |
| 100,000,000,000 | $30,000.00 | $120,000.00 | $57,000.00 |
Tokens for a fixed budget
If you cap spend, this is roughly how many MiniMax M2.5 (FriendliAI) tokens that money buys.
| Budget | Input tokens | Output tokens | Mixed tokens (70/30) |
|---|---|---|---|
| $0.01 | 33,333 | 8,333 | 17,544 |
| $0.1 | 333,333 | 83,333 | 175,439 |
| $0.5 | 1.67M | 416,667 | 877,193 |
| $1.00 | 3.33M | 833,333 | 1.75M |
| $5.00 | 16.7M | 4.17M | 8.77M |
| $10.00 | 33.3M | 8.33M | 17.5M |
| $20.00 | 66.7M | 16.7M | 35.1M |
| $25.00 | 83.3M | 20.8M | 43.9M |
| $30.00 | 100M | 25M | 52.6M |
| $50.00 | 166.7M | 41.7M | 87.7M |
| $100.00 | 333.3M | 83.3M | 175.4M |
| $250.00 | 833.3M | 208.3M | 438.6M |
| $500.00 | 1.67B | 416.7M | 877.2M |
| $1,000.00 | 3.33B | 833.3M | 1.75B |
| $5,000.00 | 16.7B | 4.17B | 8.77B |
| $10,000.00 | 33.3B | 8.33B | 17.5B |
At these rates
- A workload with 70% input and 30% output costs $0.57 per 1 million total tokens and $57.00 per 100 million.
- At the same token count, output costs 4 times the input rate. Response length therefore deserves its own budget limit.
- Filling the 200,000-token context window with input alone would cost about $0.06, before any output.
- Cached input is $0.06 per million, 80% below standard input when the workload meets the provider’s cache rules.
These figures use public list prices. Cache eligibility, batch or priority modes, long-context surcharges, discounts, and regional billing can change the invoice.