AITUNNEL or provod.ai — comparison 2026

AITUNNEL VS provod.ai

Categories AI coding tools, 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
  • API — Pay as you go
  • 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 specialized service Good product
Functionality Good Good
Price and value Good Good
Ease of use Good Good
Reliability and support Good Average
Innovation Average Average
User rating +4 +5
User reviews 4
Average review score 5 out of 5 · rated reviews: 4

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

What they share and how they differ

Both have

AI model aggregatorAI gatewayLLM APIAI service payments

Only AITUNNEL

AI model APIsVPN-free AI accessData anonymizationAI cost management

Only provod.ai

Chat with LLMTeam AI workspace
AITUNNEL AITUNNEL
Good specialized service +4

Pros

  • Single OpenAI-compatible endpoint routing to models from OpenAI, Anthropic Claude, Google Gemini, and DeepSeek
  • Seamless compatibility with AI coding environments and terminal agents including Cursor, Claude Code, Cline, and Codex CLI
  • Pay-as-you-go billing with formal contracts and electronic document exchange (EDO) for legal entities
  • Transit-only request routing combined with automated PII masking for sensitive information

Cons

  • Pre-request balance holds can trigger insufficient funds errors if output token limits are left undefined
  • Reasoning models can exhaust restrictive token limits during internal thinking steps, returning blank responses
  • Deposited account funds cannot be refunded or withdrawn back
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