EpicAI VS
provod.ai
In short
- Only EpicAI offers free access.
Categories LLM aggregators and APIs, All-in-one AI platforms LLM aggregators and APIs
Pricing and payment
Pricing model Trial Pay as you go
Starting price Free Pay as you go
Free access Yes No
Pricing plans - Free — Free
- Starter — RUB 498 / 500,000 tokens
- Basic — RUB 946 / 1,000,000 tokens
- Pro — RUB 1,792 / 2,000,000 tokens
- Premium — RUB 4,233 / 5,000,000 tokens
- Enterprise — RUB 7,968 / 10,000,000 tokens
- Corporative — Contact for pricing
- Тарификация по использованию — Pay as you go
Regional payment options Pay directly on the website Pay directly on the website
Pricing last changed —
Ratings and reviews
Editorial assessment Good product Good product
Functionality Good Good
Price and value Good Good
Ease of use Good Good
Reliability and support Average Average
Innovation Average Average
User rating +2 +5
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
EpicAI Pros
- Unified access to top-tier text, image, video, and audio models in one workspace
- Purchased token packages never expire and remain available until fully spent
- Base lightweight text models are accessible for free without mandatory card binding
- Built-in specialized toolset featuring web search, face swapping, and Gamma-driven presentation creation
Cons
- Midjourney interactive modification buttons expire three hours after generation due to upstream data retention limits
- Complex image workflows and high-resolution video generation drain token balances rapidly
- Overall uptime and processing speeds depend directly on third-party provider API queues
provod.ai Pros
- Native support for both OpenAI Chat Completions and Anthropic Messages endpoints without protocol wrappers
- Seamless drop-in compatibility for coding CLI utilities and IDE extensions
- Automated masking of personally identifiable information (names, emails, and phone numbers)
- Wide-ranging model lineup covering text, vision, and video generation through a single ruble balance
Cons
- No dedicated endpoints for standalone vector embeddings or direct speech-to-text transcription
- High-load and multi-step agent requests place a temporary hold on the account balance until generation finishes
- Request retries on failure are restricted to before output streaming begins, preventing mid-generation recovery