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I was tired of manually comparing Claude vs GPT pricing in spreadsheets. So I built APIpulse — a free tool that compares 34 AI models across 10 providers. What I learned: - SEO content before launch = organic traffic on day one - Free tools are the best marketing (developers bookmark and return) - Pricing data freshness matters more than I expected - Reddit feedback shaped the product: r/webdev asked for "cost per request" instead of just tokens, so I added it. r/MachineLearning asked for batch vs streaming toggle, so I added it - Community feedback is the best product roadmap Tech stack: Static HTML + Vercel. No backend. All calculations in JavaScript. The tool is free: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_saas_build Happy to answer questions about the build process or the PH launch.

I built a calculator that lets you estimate monthly AI API costs across providers. Features: - 34 models, 10 providers - **Cost per request** and **cost per 1K requests** — the metrics developers actually budget against - Request-type presets: chat message, code gen, doc analysis, RAG query, content writer - **Batch vs streaming toggle** — see how streaming overhead (+10% tokens) or Batch API discounts (-50%) affect your costs - Monthly cost estimator with volume presets - Provider comparison table - Cheaper alternative recommendations It's completely free, no signup required: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_webdev_tool For weekly pricing updates: https://getapipulse.com/newsletter.html?utm_source=reddit&utm_medium=post&utm_campaign=r_webdev_tool Would love feedback on what features would be most useful.

I've been tracking AI API pricing changes across all major providers. Here's what's happened: Biggest drops: - GPT-4o: $10 → $2.50/1M input (-67%) - Mistral Large: $2 → $0.50 (-75%) - DeepSeek V4 Pro: $1.75 → $0.44 (-75%) The outlier: - Grok: rebranded from 3 to 4.3, now $1.25/1M input — was $30 after a 10x hike Budget models are now production-viable: - Gemini 2.0 Flash Lite at $0.075/1M input - Llama 3.1 8B at $0.10/1M via Together.ai - DeepSeek V4 Flash at $0.14/1M with 1M context I built a free tool to track all this: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_artificial_pricing Full comparison of 34 models across 10 providers. Would be curious to hear what models everyone's actually using in production.

I've been comparing open-source hosted APIs vs commercial providers. Here's the breakdown: Open-source (via hosted APIs): - Llama 3.1 8B (Together.ai): $0.10/$0.10 per 1M tokens - Llama 4 Scout: $0.11/$0.33 — 10M context window - Llama 4 Maverick: $0.22/$0.66 Commercial budget tier: - Gemini 2.0 Flash Lite: $0.075/$0.30 (cheapest overall) - DeepSeek V4 Flash: $0.14/$0.28 - GPT-4o mini: $0.15/$0.60 The gap is closing fast. Gemini Flash Lite at $0.075 is actually cheaper than most open-source hosted options. But open-source gives you self-hosting flexibility and no vendor lock-in. For self-hosters: the break-even point vs API calls depends heavily on utilization. At >80% GPU utilization, self-hosting wins. Below 50%, APIs are usually cheaper when you factor in ops overhead. Full comparison: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_localllama_oss

I'm 8 weeks into a 12-week challenge: build a real startup with only $100. What I built: APIpulse — a free tool that compares AI API pricing across 34 models and 10 providers. Interactive calculators, savings comparisons, pricing trends, cost optimizer, and 186 blog guides. Week 1-2: Built the entire site (174 pages, 120 blog posts). Launched on Product Hunt. Week 3: Distribution push. Added savings calculator, exit popup A/B test, community engagement. Week 4: Responded to community feedback — added cost-per-request view, request-type presets, and batch vs streaming toggle. Rejected $5K acquisition offer. Expanded to 10 providers with rate limits data. Week 5: Built a cost optimizer tool, cost projection calculator, and AI model advisor. Week 6: Added 7 provider-specific calculators (Gemini, xAI Grok, DeepSeek, Mistral, Meta Llama, Open Source, Cheapest Coding). AI API Pricing Comparison 2026 page. Week 7: Blog index sync, cost calculator API, 295 pages total, 185 blog posts, 9 API endpoints. Week 8: Added Claude Opus 4.8 (new Anthropic flagship, model count 33→34). Site health checks, A/B pricing test fix, stale stats cleanup. 296 pages, 185 blog posts. Lessons so far: - Static HTML + Vercel = $0 hosting, instant deploys - Free tools drive more traffic than blog posts - SEO content before launch = organic traffic from day one - Reddit feedback shaped the product more than any other channel - The $100 budget forces creative solutions (and that's a feature, not a bug) Revenue: $0 so far (Pro tier at $29, Stripe needs config fix). Traffic: Growing steadily from PH launch and organic SEO. Next up: Community distribution (Show HN, Reddit posts), newsletter pitches, conversion optimization. Full write-up with budget breakdown: https://getapipulse.com/blog-building-startup-on-100-dollars.html?utm_source=reddit&utm_medium=post&utm_campaign=r_startups_journey The tool: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_startups_journey Happy to share specifics about the build process, tech stack, or PH launch strategy.

I analyzed current AI API pricing across all major providers. Key findings: 1. **Budget tier is production-viable**: Gemini 2.0 Flash Lite ($0.075/1M) and DeepSeek V4 Flash ($0.14/1M) now match 2024 flagship quality at 1/20th the price. 2. **Context windows exploded**: Budget models now offer 1M+ context (Gemini Flash, DeepSeek V4 Pro). Premium models at 200K-1M. 3. **Price volatility is real**: Grok rebranded to 4.3 at $1.25. GPT-4o dropped 67%. If you haven't re-evaluated your provider in 6 months, you're likely overpaying. 4. **Multi-model pipelines are optimal**: Route simple tasks to Gemini Flash ($0.10), code to DeepSeek V4 Pro ($0.44), complex reasoning to GPT-5 ($1.25). Under $2/1M tokens average. 5. **The cheapest option depends on workload**: For high-volume classification, Llama 3.1 8B ($0.10) wins. For long-context analysis, Gemini Flash ($0.10/1M, 1M context) wins. For code, DeepSeek V4 Pro ($0.44/1M, 1M context) wins. **New feature** (thanks to r/MachineLearning feedback): Batch vs streaming toggle. Streaming responses typically use ~10% more tokens due to overhead. OpenAI's Batch API offers 50% off. The calculator now shows both modes so you can budget accurately. Full data with interactive calculators: https://getapipulse.com/?utm_source=reddit&utm_medium=post&utm_campaign=r_ml_analysis Data covers input/output pricing, context windows, and cost-per-workload comparisons.

The LLM API market has shifted massively in 2025-2026: - GPT-4o dropped 67% ($10 → $2.50/1M input) - Mistral Large dropped 75% ($2 → $0.50) - DeepSeek V4 Pro dropped 75% ($1.75 → $0.44) - Grok rebranded to 4.3 ($1.25/1M input) — was $30 after a 10x hike, now competitive I built APIpulse to help developers navigate this. It's a free, static tool that compares 34 models across 10 providers with interactive calculators. Key pages: - /calculator — cost per request, cost per 1K requests, monthly total. Request-type presets (chat, code gen, doc analysis, RAG, content writer). New: batch vs streaming toggle (streaming +10% tokens, Batch API -50% cost) - /pricing-trends — every major price move, decision framework for when to switch - /model-switch — side-by-side savings calculator - /agent-cost-calculator — costs for AI agent workloads 186 blog posts with specific comparisons (DeepSeek vs GPT-5 Mini, Mistral Small vs Haiku, cost per request analysis, AI API rate limits, Opus 4.7 vs GPT-5, etc.). All static HTML/JS, no backend, no signup. Deployed on Vercel. URL: https://getapipulse.com/?utm_source=hn&utm_medium=show_hn&utm_campaign=pricing_trends

Hi TLDR team, I built APIpulse — a free tool that helps developers compare AI API costs across 34 models from OpenAI, Anthropic, Google, DeepSeek, Mistral, and more. Key data points for your readers: - GPT-4o dropped 67% ($10 → $2.50/1M input) - Budget models (Gemini Flash at $0.075/1M) are now production-viable - Grok rebranded to 4.3 at $1.25 — was $30 after a 10x hike Interactive tools: cost calculator, model comparison, savings calculator, pricing trends. Site: https://getapipulse.com/?utm_source=tldr&utm_medium=newsletter&utm_campaign=pitch Newsletter signup: https://getapipulse.com/newsletter.html Happy to provide any data or quotes for a piece.