GPTZZZ vs TokenGO

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

GPTZZZ compared with TokenGO
Detail	GPTZZZ	TokenGO
What it does	AI API relay station providing access to multiple AI models with unified billing	Self-operated inference API for open-weight LLMs and video models
Stage	Startup	Not given
Founded	2026	Not given
Based in	Not given	US
Pricing model	Paid	Paid
Pricing	Pay-as-you-go with Alipay top-ups. Minimum charge ¥10, exchange rate ¥1 = $1 credit. Pricing varies by model and group: GPT models from $0.02 input / $0.12 output per million tokens in the 0.1x group; Claude models from $0.50 input / $3.00 output per million tokens in the 0.4x group; Grok models ava	Standard (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):
Key features	Group-based API key management with separate billing multipliers from 0.1x to 0.7x Unified balance across multiple AI model providers OpenAI-compatible endpoint requiring only Base URL change Support for Claude Messages interface for Claude models Anytime balance withdrawal with no fees Base64 image input support	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
What makes it different	Lowest pricing multipliers in the market at 0.1x baseline Unified billing across different model providers with single balance No withdrawal fees for unused balance Simple integration with only Base URL change needed	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
Community votes	0	0
DR (Domain Rating by Ahrefs)	71 −1 (down) since last check	17 no change since last check
Trust Flow (Majestic)	9	4
Citation Flow (Majestic)	28	27
Referring domains (Majestic)	52	77

5 details filled in for both companies.

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