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LLM API Pricing Calculator
Real-time pricing for thousands of AI models across 70+ cloud providers. GPU rental included. Updated daily.

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Milvus
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ElasticSearch
Algolia
Vespa.ai
Zilliz
Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Which is more popular?
Based on our record, Qdrant seems to be more popular. It has been mentioned 68 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | computeunion.net | qdrant.tech |
| Pricing | ||
| Platforms | — | |
| Company | Startup from 新加坡 · 2026 | 2021 |
| Listed in |
In their own words, as submitted to SaaSHub.


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....
Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ComputeUnion and Qdrant.
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.
Qdrant's answer:
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
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.
Qdrant's answer:
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
ComputeUnion's answer
Next.js 14, TypeScript, Tailwind CSS, PostgreSQL, Python, Vercel
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
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
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
▎ - 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
Share your experience with using ComputeUnion and Qdrant. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking ComputeUnion since Jun 2026.
This article builds the backend of a chat help bot for an online bookstore: a small, tested Python pipeline built on LangChain, Qdrant, and Zyte API that treats a blocked or empty page as a first-class outcome, fetches pages as LLM-ready... - Source: dev.to / 10 days ago
Tailscale — all agent access to my infra goes over the tailnet; SSH is not exposed publicly. Agents reach services by tailnet name, which also means the public attack surface is ~zero. Tailscale - Cloudflare — DNS, Pages (this site),... - Source: dev.to / 16 days ago
Say your product needs search that understands meaning. A user types "the tax due when you sell shares at a profit" and expects the page on capital gains tax, even though none of those words appears in its title. The usual next step is a... - Source: dev.to / 26 days ago
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