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ComputeUnion aggregates real-time pricing data for AI APIs and GPU cloud rentals across 70+ platforms, so developers stop wasting time on manual price checks. ▎ ▎ Compare 3,000+ models — GPT-5, Claude 4, Gemini 2.5, DeepSeek, and more — with prices updated every 6 hours via automated scrapers. Covers LLM, image, video, and audio APIs. Also tracks GPU rental rates (H100, A100, RTX 4090) across 20+ cloud providers. ▎ ▎ Key features: ▎ - Automated price updates every 6 hours ▎ - 150+ model-vs-model comparison pages ▎ - Cheapest provider rankings by category ▎ - Price history charts (30/90-day trends) ▎ - CN relay station comparison for developers in China
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ComputeUnion's answer:
ComputeUnion was built out of personal frustration. Manually checking prices across a dozen AI platforms before every project was tedious and error-prone. The solution was to automate the entire process — building scrapers for every major provider and presenting the data in one unified interface. What started as a personal tool grew into a platform covering 70+ providers and 3,000+ models.
ComputeUnion's answer:
ComputeUnion is one of the few platforms that tracks both AI API pricing and GPU cloud rental rates in one place, with data updated hourly via automated scrapers — not manually maintained spreadsheets. It also covers CN relay stations for developers in China, a niche completely ignored by Western competitors. With 150+ model-vs-model comparison pages and price history charts, it goes beyond simple price lists into actionable decision tools.
ComputeUnion's answer:
Most price comparison sites rely on manually updated data that goes stale within days. ComputeUnion runs automated scrapers across 70+ platforms every hour, so the prices you see are the prices you'll actually pay. It also covers more provider types in one place — official APIs, third-party relays, and GPU rentals — eliminating the need to check multiple sources before making a decision.
ComputeUnion's answer:
AI developers and ML engineers who use LLM APIs in production and want to minimize costs. Also serves researchers comparing GPU cloud providers for training workloads, and developers in China looking for cost-effective API relay stations.
ComputeUnion's answer:
Next.js 14, TypeScript, Tailwind CSS, PostgreSQL, Python, Vercel
ComputeUnion's answer:
▎ - Individual developers optimizing LLM API costs for side projects and startups ▎ - AI engineers at early-stage companies selecting inference providers ▎ - Researchers comparing GPU cloud costs for model training and fine-tuning
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