floomhq Cost Skill
LLM API Pricing (as of early 2026)
Always verify current prices at the provider's pricing page - these change frequently.
Anthropic Claude
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Claude Opus 4 | ~$15 | ~$75 |
| Claude Sonnet 4 | ~$3 | ~$15 |
| Claude Haiku 3.5 | ~$0.80 | ~$4 |
OpenAI
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| GPT-4o | ~$2.50 | ~$10 |
| GPT-4o mini | ~$0.15 | ~$0.60 |
Google Gemini
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Gemini 2.5 Pro | ~$1.25 | ~$10 |
| Gemini 2.5 Flash | ~$0.15 | ~$0.60 |
Token Estimation
Rough approximations:
- 1 token ≈ 4 characters ≈ 0.75 words
- 1 page of text ≈ 750 tokens
- Average email ≈ 200-400 tokens
- Short code file ≈ 500-2000 tokens
Cost Calculation
def estimate_cost(
input_tokens: int,
output_tokens: int,
input_price_per_million: float,
output_price_per_million: float
) -> float:
input_cost = (input_tokens / 1_000_000) * input_price_per_million
output_cost = (output_tokens / 1_000_000) * output_price_per_million
return input_cost + output_cost
# Example: 1000 requests with 500 input tokens, 200 output tokens each
# Using Claude Sonnet ($3 in, $15 out per 1M)
total_input = 1000 * 500 # 500K tokens
total_output = 1000 * 200 # 200K tokens
cost = estimate_cost(total_input, total_output, 3, 15)
# = $0.15 + $3.00 = $3.15 for 1000 requests
Cloud Hosting (rough estimates)
| Service | Small | Medium | Large |
|---|---|---|---|
| Vercel (hobby) | Free | $20/mo | $150+/mo |
| Render (web service) | $7/mo | $25/mo | $85+/mo |
| Hetzner VPS | €5/mo | €20/mo | €80+/mo |
| AWS EC2 (t3) | $15/mo | $60/mo | $250+/mo |
Analysis Framework
When asked to estimate costs:
- Identify usage patterns: How many requests/day? Batch or real-time?
- Estimate token counts: Input context size + expected output size
- Calculate monthly volume: requests/day × 30
- Apply pricing: Use the table above or current pricing page
- Add buffer: Add 20-30% for variance and growth
- Compare alternatives: Show cost at different models/providers
Output Format
COST ESTIMATE: [Feature/Service]
Assumptions:
- [usage volume]
- [average token counts]
- [model/provider]
Monthly estimate:
- API calls: [N] × $[X] = $[Y]/month
- Hosting: $[Z]/month
- Total: ~$[TOTAL]/month
At scale (10x):
- Total: ~$[10x TOTAL]/month
Recommendation: [cheapest option that meets requirements]