Requesty or Zveno AI — comparison 2026

Requesty VS Zveno AI

In short

  • Both services offer free access.
Categories Automation, LLM aggregators and APIs LLM aggregators and APIs, All-in-one AI platforms

Pricing and payment

Pricing model Freemium Freemium
Starting price Free Free
Free access Yes Yes
Pricing plans
  • FREE — Free
  • PAY AS YOU GO — Pay as you go
  • ENTERPRISE — Contact for pricing
  • По факту использования, Корпоративный — Price not specified
  • Хобби — RUB 690/month
  • Профи — RUB 1,690/month
  • Себес — RUB 4,900/month
  • Команда — RUB 9,900/month
Payment methods bank card and iDEAL
Pricing last changed

Ratings and reviews

Editorial assessment Good product Good specialized service
Functionality Good Good
Price and value Good Good
Ease of use Good Good
Reliability and support Average Good
Innovation Good Average
User rating +2 +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 gatewayLLM API

Only Requesty

AI guardrailsData anonymization

Only Zveno AI

AI model aggregatorAI model APIsChat with LLMVPN-free AI accessEmbeddingsText-to-image generationAI service paymentsCloud cost optimizationAI agent orchestrationRAG systemsTranscription
Requesty Requesty
Good product +2

Pros

  • Drop-in OpenAI SDK compatibility allows switching models or routing chains with a single configuration line
  • Automated sub-14ms failover absorbs 429 rate limits and upstream outages without breaking user sessions
  • Comprehensive routing options including live latency scoring, percentage-based load balancing, and agent-specific chains
  • Real-time PII detection and redaction strips personal data before prompts reach upstream providers

Cons

  • Proprietary SaaS platform with no option for self-hosted or fully air-gapped on-premise deployment
  • Adds a proxy network overhead of roughly 12 to 40 ms to raw inference calls
  • Free-tier endpoints have strict daily request caps and are subject to provider queue congestion
Zveno AI Zveno AI
Good specialized service +3

Pros

  • Drop-in OpenAI SDK compatibility requiring only a base URL and key change
  • Prompt caching to cut expenses on repetitive context and agent instructions
  • Automatic failover routing to maintain uptime during provider disruptions
  • Native ruble payments with invoicing and accounting documentation for legal entities

Cons

  • Response latency and availability remain dependent on foreign upstream providers
  • Browser-based chat interface is minimal compared to dedicated standalone platforms