LFM3-1.7B API Pricing — Token Cost Calculator & Cheapest Cloud Providers
Live unit economics and multi-provider host arbitrage for LFM3-1.7B (liquid/lfm-3-1.7b).
Input tokens cost $0.08/1M, output tokens cost
$0.20/1M, and prompt cache reads drop to
$0.02/1M.
1. Cheapest Cloud Providers for LFM3-1.7B (2026 Cloud Pricing & Latency Matrix)
Compare the cheapest cloud providers and GPU endpoints hosting LFM3-1.7B anchored by input price, output price, cache read discount, Time-to-First-Token (TTFT < 400ms SLA), and throughput speed:
| Provider / Endpoint | Input / 1M | Output / 1M | Cache Read / 1M | TTFT Latency & SLA | Throughput | 10K DAU Monthly Bill | Action |
|---|---|---|---|---|---|---|---|
| DigitalOcean GPU Droplets (H100 / L40S) #1 Recommended Router | $0.08 | $0.20 | $0.02 | 241ms <400ms SLA ✓ | 116 tok/s | $1,584/mo | Deploy (Dedicated H100 & L40S GPU Cloud) → Sign Up → |
| RunPod Serverless vLLM ($5–$500 Bonus) | $0.08 | $0.20 | $0.02 | 255ms <400ms SLA ✓ | 110 tok/s | $1,584/mo | Deploy ($5–$500 Free Bonus Credit) → |
| Liquid AI Direct / Primary | $0.08 | $0.20 | $0.02 | 292ms <400ms SLA ✓ | 96 tok/s | $1,584/mo | Deploy (Unified API for 470+ Models) → |
| OpenRouter (0% Markup Failover) | $0.08 | $0.20 | $0.02 | 304ms <400ms SLA ✓ | 92 tok/s | $1,584/mo | Deploy (Unified API for 470+ Models) → |
2. Monthly SaaS Spend by DAU Scale & Prompt Cache Hit Rate
Exact monthly spend projections across 1,000 DAU, 10,000 DAU, and 50,000 DAU with 0%, 50%, 75%, and 90% prompt caching:
| Active Users (DAU) | Uncached (0% Hit) | 50% Cache Hit | 75% Cache Hit (RAG) | 90% Cache Hit (Agents) |
|---|---|---|---|---|
| 1,000 DAU (1.55B tok/mo) | $158.40/mo | $120.60/mo | $101.70/mo | $90.36/mo |
| 10,000 DAU (15.5B tok/mo) | $1,584/mo | $1,206/mo | $1,017/mo | $903.60/mo |
| 50,000 DAU (77.4B tok/mo) | $7,920/mo | $6,030/mo | $5,085/mo | $4,518/mo |
Interactive LFM3-1.7B Monthly Spend & Cache Slider
3. Frequently Asked Questions (LFM3-1.7B)
4. Compare LFM3-1.7B Against Alternative Models
Drop Your Usage CSV, Paste Your System Prompt, or Rescue Your Monthly LLM Bill
100% browser-local FinOps auditing: drop your OpenRouter / OpenAI / Anthropic / Cursor usage CSV, count 20-turn agent loop bloat from your system prompt, or model instant savings across 61 models.
Export your 30-day activity CSV from OpenRouter, Anthropic Console, OpenAI Usage, or Cursor/Cline and drop it below (or paste raw CSV rows). Everything runs in your browser memory — no API keys or logs ever leave your device.
Embed Live LFM3-1.7B Token Price Badge in Your GitHub README or Docs
Keep your open-source repo or internal engineering wiki automatically synced with live LFM3-1.7B input/output pricing:
Engineering Unit Economics Verdict: LFM3-1.7B Architecture, Context Ceiling & GPU Break-Even
1. Multi-Turn Agent Context Overflow Ceiling: With a 262,144 token context window and 8,192 max output limit, LFM3-1.7B supports up to 38 consecutive agent turns (at 6,800 cumulative tokens/turn) before requiring sliding-window truncation or summary compression.
2. Prompt Caching & Latency SLA Headroom: Cached input reads on LFM3-1.7B ($0.02/1M) cut input token spend by 75% compared to uncached prompts ($0.08/1M). Hosted on DigitalOcean GPU Droplets (H100 / L40S), Time-to-First-Token averages 310ms (90ms faster than the 400ms real-time voice/chat SLA ceiling).
3. Serverless Token API vs. Self-Hosted vLLM Break-Even: Compared against a dedicated $2,150/mo 80GB H100 GPU instance (DigitalOcean GPU Droplets / Vultr Cloud GPU), serverless token billing for LFM3-1.7B is more cost-effective up to 21,141 Daily Active Users (DAU).
LFM3-1.7B ($0.08/1M in · $0.20/1M out) is engineered as a high-throughput Stage-1 workhorse for intent classification, structured JSON extraction, and IDE autocomplete:
- 100% Frontier Baseline ($3/$15 per 1M at 10K DAU): $81,000/mo
- 80/20 Cascade Router (80% LFM3-1.7B + 20% Frontier): $17,467/mo (saves $63,533/mo)
- Asynchronous Batch ETL / Offline Backfill (-50% Batch Tier): $792/mo for 15.48B monthly tokens.
