Krater.ai VS provod.ai

Comparison

Categories LLM aggregators and APIs, All-in-one AI platforms LLM aggregators and APIs

Pricing and payment

Pricing model Paid Pay as you go

Starting price from $20/month Pay as you go

Free access No No

Pricing plans

Payment methods Visa, Mastercard, American Express, JCB, Discover, Diners Club, bank card, PayPal, Apple Pay, and Amazon Pay —

Pricing last changed September 18, 2026 September 15, 2026

Editorial assessment Good product Good product

Functionality Good Good

Price and value Average Good

Ease of use Good Good

Reliability and support Below average Average

Innovation Average Average

User rating +2 +5

Service status Online, checked September 18, 2026 Online, checked September 15, 2026

Last full review of the listing September 18, 2026 September 15, 2026

Checked September 18, 2026 September 15, 2026

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

Good product +2

Unified access to hundreds of models from OpenAI, Anthropic Claude, Google Gemini, Grok, and others
Switching between different model families mid-chat without resetting the dialogue
Autonomous Krater Agent capable of web browsing, task planning, and tool execution
Interactive artifacts with live preview support for code, documents, and slides

Monthly credit allowances deplete rapidly when running video generation and complex agent tasks
Past user disputes regarding revoked access and weak support during platform restructuring
Response speeds and availability depend directly on upstream provider APIs
Strict plan-based quotas on cloud storage, context limits, and active scheduled tasks

Good product +5

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

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