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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