Show HN: Free API cost calculators – know your bill before it arrives

A developer launched a free API cost calculator that estimates monthly spend for LLMs including GPT-5.5, GPT-5.4 nano, Claude Sonnet 4.6, and Gemini 3.5 Flash based on token throughput. The tool helps developers and product teams predict their API bills before they arrive, using current 2026 pay-as-you-go pricing.

LLM Token & API Cost Calculator Estimate monthly spend across GPT-5.5, GPT-5.4 nano, Claude Sonnet 4.6, and Gemini 3.5 Flash based on your token throughput. — — — — — Pricing reflects published 2026 public API rates USD, pay-as-you-go . Volume discounts, cached input, and batch pricing are not applied. Verify against the provider's pricing page before budgeting. LLM Cost Calculator — GPT-5.5, GPT-5.4 Nano & Gemini 3.5 Flash Pricing This LLM cost calculator helps developers and product teams estimate their monthly OpenAI, Anthropic, and Google API spend before it hits their credit card. You enter three variables — input tokens per request, output tokens per request, and monthly request volume — and the tool computes your total cost using current June 2026 USD pricing. GPT-5.5 costs $5.00 per million input tokens and $30 per million output tokens. For budget workloads, GPT-5.4 nano at $0.20/$1.25 per 1M is the most affordable OpenAI option in 2026 — a team running 100,000 requests/month at 1,500 in + 500 out tokens pays around $30/month. How much does GPT-5.5 API cost per 1,000 requests? At June 2026 pay-as-you-go pricing, GPT-5.5 costs $5.00/1M input tokens and $30/1M output tokens. A typical request with 1,500 input + 500 output tokens costs about $0.0225. For 1,000 such requests, you'd pay approximately $22.50 USD. Use GPT-5.4 nano $0.20/$1.25 to reduce that cost by ~97%. What is the cheapest LLM API for high-volume applications? For high-volume workloads in 2026, GPT-5.4 nano $0.20/1M input and Gemini 3.1 Flash-Lite $0.25/1M input are the most cost-effective capable options. Claude Haiku 4.5 $1.00/$5.00 is competitive when output quality matters more. How do I reduce my LLM API costs in production? Key strategies: use prompt caching saves 75–90% on repeated context , switch to GPT-5.4 nano or Gemini 3.1 Flash-Lite for classification tasks, enable batch processing for async jobs, and compress system prompts. More API Cost Calculators 11 free tools — click to open the full interactive calculator with all providers and options. Vector Database Cost Pinecone vs Supabase vs Qdrant vs Weaviate Open Calculator → /vector-database-cost Image Generation Cost DALL·E 3 vs Stable Diffusion vs Flux Open Calculator → /image-generation-cost Payment Processor Fees Stripe vs Paddle vs Lemon Squeezy Open Calculator → /payment-processor-fees Cloud VPS Comparison Hetzner vs DigitalOcean vs Vultr Open Calculator → /cloud-vps-comparison STT / TTS API Cost Whisper vs ElevenLabs vs Deepgram Open Calculator → /stt-tts-api-cost Serverless Cost Calculator Lambda vs Vercel vs Cloudflare Workers Open Calculator → /serverless-cost-calculator API Gateway Pricing AWS API GW vs Cloudflare vs Kong Open Calculator → /api-gateway-pricing Embedding API Cost OpenAI vs Cohere vs Voyage AI Open Calculator → /embedding-api-cost AI Agent Cost Multi-step pipeline pricing per run Open Calculator → /ai-agent-cost AI Coding Tool Cost Cursor vs Copilot vs Claude Code Open Calculator → /ai-coding-tool-cost Auth Provider Cost Clerk vs Supabase Auth vs Auth0 Open Calculator → /auth-provider-cost