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TokenGO vs AiGanak

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

TokenGO compared with AiGanak
DetailTokenGO logo TokenGOAiGanak logo AiGanak
What it doesSelf-operated inference API for open-weight LLMs and video models AI systems engineering, language model research and cost optimization
StageNot given Established
FoundedNot given 2021
Based inUS IN
Pricing modelPaid Not given
PricingStandard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month): Free tools: LLM Bill Analyzer, API pricing calculator, price alerts. LLM Cost Report: USD 149 (2 working days); Founding clients: USD 750. LLM Cost & Reliability Audit: USD 1,500 (5-7 working days). Sample report available free by email.
Key features
  • Zero-retention privacy policy
  • Smart routing optimization
  • Hardware adaptation per request
  • Inference engine kernel optimization
  • KV cache layer for token reuse
  • Unified API across model catalog
  • Cost and usage monitoring
  • Volume-based tiered discounting
  • Data Processing Agreement available
  • LLM Bill Analyzer for usage export analysis
  • API pricing calculator for OpenAI, Anthropic and Google models
  • Multi-agent workflow automation on n8n and Make
  • Prompt hardening against injection and token waste
  • Private and on-premise LLM deployment
  • Custom small and large language model development
  • LLM Cost & Reliability Audit with log analysis
  • Price change alerts for OpenAI, Anthropic and Google
What makes it different
  • Single API key for access to leading models like DeepSeek, Kimi, and Qwen
  • Enterprise uptime and service guarantees without separate integrations
  • Zero-retention privacy with US governance and DPA support
  • Cost-efficiency through kernel optimization adopted by frontier labs
  • No integration rewrite required for teams already using OpenAI-compatible APIs
  • Client retains ownership of all code, prompts, workflows and fine-tuned model weights
  • Private and on-premise deployment option protecting enterprise data
Community votes00
DR (Domain Rating by Ahrefs)17 no change since last check4 no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)270
Referring domains (Majestic)772

5 details filled in for both companies.

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