GenAPI VS 
Polza.ai
Categories LLM aggregators and APIs LLM aggregators and APIs
Pricing and payment
Pricing model Pay as you go Pay as you go
Starting price Pay as you go Pay as you go
Free access No No
Pricing plans - По использованию — Pay as you go
- Polza AI API — Pay as you go
Regional payment options Pay directly on the website Pay directly on the website
Ratings and reviews
Editorial assessment Good specialized service Good specialized service
Functionality Good Good
Price and value Good Good
Ease of use Good Good
Reliability and support Good Good
Innovation Average Average
User rating +2 +4
User reviews — 3
Data freshness
Service status Online, checked Online, checked
Last full review of the listing
Checked
Values come from catalog data: collected pricing, editorial assessments, reviews and the verification history. How we assess tools
GenAPI Good specialized service +2 Pros
- Single unified API with OpenAI endpoint compatibility for drop-in replacement across tools and SDKs
- Extensive multimodal catalog spanning text, image, video, audio, and 3D synthesis
- Built-in microservices for turnkey tasks like PPTX deck creation, background removal, and call audio analysis
- Transparent pay-as-you-go billing tied strictly to consumed tokens and generation runtime
Cons
- Media generation pipelines for video and 3D require asynchronous polling and can face rendering queues during peak hours
- Overall service availability remains tied to the upstream uptime of underlying model providers
Polza.ai Good specialized service +4 Pros
- Unified access to hundreds of models from OpenAI, Anthropic Claude, Google Gemini, DeepSeek, and others
- Drop-in compatibility with the OpenAI Chat Completions API standard and major SDKs
- Automated provider monitoring with fallback routing during upstream outages
- Transparent pay-as-you-go billing with a single account balance
Cons
- Request latency and time-to-first-token are strictly tethered to upstream provider data centers
- Cloud-only infrastructure without confirmed support for on-premise isolated deployments
- Asynchronous video generation jobs remain vulnerable to external queue delays
