mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-10-05 12:28:22 +00:00
115 lines
2.6 KiB
Markdown
115 lines
2.6 KiB
Markdown
# Advanced Pricing
|
||
|
||
Advanced pricing strategies for fine-tuned control over your revenue model.
|
||
|
||
---
|
||
|
||
## Default Behavior
|
||
|
||
By default, Routstr:
|
||
|
||
1. **Fetches costs** from your upstream provider
|
||
2. **Applies markup** using your fee settings
|
||
3. **Converts to sats** using real-time BTC price
|
||
|
||
**Formula**: `Price = Upstream Cost × Exchange Fee × Upstream Fee`
|
||
|
||
---
|
||
|
||
## Strategy 1: Fixed Per-Request
|
||
|
||
Charge a flat fee regardless of model or tokens used.
|
||
|
||
**Configure in Dashboard** → **Settings** → **Pricing**:
|
||
|
||
- Enable **Fixed Pricing**
|
||
- Set **Fixed Cost Per Request** (in sats)
|
||
|
||
**Use cases**:
|
||
|
||
- Internal tools with predictable usage
|
||
- Simple "pay once, get response" APIs
|
||
- Subscription-like tiers
|
||
|
||
---
|
||
|
||
## Strategy 2: Fixed Per-Token
|
||
|
||
Override dynamic pricing with global per-token rates.
|
||
|
||
**Configure in Dashboard** → **Settings** → **Pricing**:
|
||
|
||
| Setting | Description |
|
||
|---------|-------------|
|
||
| **Fixed Per 1K Input** | Sats per 1,000 prompt tokens |
|
||
| **Fixed Per 1K Output** | Sats per 1,000 completion tokens |
|
||
|
||
When set to non-zero values, these override model-specific pricing for all models.
|
||
|
||
---
|
||
|
||
## Strategy 3: Per-Model Custom Pricing
|
||
|
||
Set specific prices for individual models, overriding both upstream cost and global fees.
|
||
|
||
**Configure in Dashboard** → **Models**:
|
||
|
||
1. Click on a model (e.g., `gpt-4`)
|
||
2. Enter **Prompt Price** and **Completion Price** (USD per 1M tokens)
|
||
3. Save
|
||
|
||
**Example**: OpenAI charges $30/1M for GPT-4. Set your price to $35/1M to lock in a margin regardless of fee settings.
|
||
|
||
---
|
||
|
||
## Minimum Charge
|
||
|
||
Prevent dust transactions and spam:
|
||
|
||
| Setting | Description | Default |
|
||
|---------|-------------|---------|
|
||
| **Min Request Cost** | Minimum charge in msats | 1000 (1 sat) |
|
||
|
||
If a request's calculated cost falls below this (e.g., very short prompts), the client pays the minimum.
|
||
|
||
---
|
||
|
||
## Combining Strategies
|
||
|
||
Strategies apply in order of specificity:
|
||
|
||
1. **Per-model override** (highest priority)
|
||
2. **Fixed per-token rates**
|
||
3. **Dynamic pricing with fees** (default)
|
||
4. **Fixed per-request** (overrides all above if enabled)
|
||
|
||
**Example setup**:
|
||
|
||
- Dynamic pricing as default (10% markup)
|
||
- GPT-4 locked at $35/1M (premium model)
|
||
- Claude Haiku at 5 sats/1K tokens (budget option)
|
||
- Minimum 1 sat per request
|
||
|
||
---
|
||
|
||
## Pricing for Profit
|
||
|
||
### High-Volume Strategy
|
||
|
||
Lower margins, more clients:
|
||
|
||
- Exchange Fee: 1.002 (0.2%)
|
||
- Upstream Fee: 1.05 (5%)
|
||
|
||
### Premium Strategy
|
||
|
||
Higher margins, fewer clients:
|
||
|
||
- Exchange Fee: 1.01 (1%)
|
||
- Upstream Fee: 1.25 (25%)
|
||
|
||
### Mixed Strategy
|
||
|
||
- Cheap models (GLM-4.7-Flash, Seed-1.6): Low margin to attract volume
|
||
- Premium models (GPT-5-Pro, Claude-Opus): High margin for profit
|