provod.ai or Tokenly — comparison 2026

provod.ai VS Tokenly

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
  • Тарификация по использованию — Pay as you go
  • Pay as you go — Pay as you go
Payment methods Visa (+3%), Mastercard (+3%), and cryptocurrency (USDT, BTC, ETH, and 4 more)
Pricing last changed

Ratings and reviews

Editorial assessment Good product Good specialized service
Functionality Good Good
Price and value Good High
Ease of use Good Good
Reliability and support Average Average
Innovation Average Average
User rating +5 +3

Data freshness

Service status Online, checked Online, checked
Last full review of the listing
Checked

Compare features and plans for your needs. Before paying, check current prices and limits on the service’s website. How we assess tools

What they share and how they differ

Both have

AI model aggregatorAI gatewayLLM API

Only provod.ai

Chat with LLMTeam AI workspaceAI service payments

Only Tokenly

AI model APIsAI cost management
provod.ai provod.ai
Good product +5

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
Tokenly Tokenly
Good specialized service +3

Pros

  • 50% discount compared to official vendor token prices
  • Drop-in compatibility with official OpenAI and Anthropic SDKs by changing only the base URL
  • Single API key and unified balance across Anthropic Claude, OpenAI, and Google Gemini
  • Pay-as-you-go billing model with no recurring subscriptions or mandatory minimums

Cons

  • Catalog is strictly limited to Anthropic Claude, OpenAI, and Google Gemini, with no open-weight models supported
  • Acts as an intermediary proxy, introducing a potential single point of failure and network latency
  • Specific rate limits for requests per minute and tokens per minute are not publicly documented