Tokengo
TokenGO self-operated inference API for open-weight LLMs and video models. OpenAI-compatible. US-governed.
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What is Tokengo?
TokenGo is an API gateway providing cost-efficient access to multiple premium AI models (GLM 5.3, Kimi K3, DeepSeek V4, MiniMax) through a single API key. Built for production workloads with 99.99% uptime guarantees and zero-retention privacy policies, it targets AI-native businesses and teams with significant token volume looking to optimize costs without rewriting integrations.
Tokengo pricing
Pricing model: Freemium
Per-token pricing varies by model: GLM 5.3 ($1.40/$4.40 per 1M tokens), DeepSeek V4 Flash ($0.10/$0.20), Kimi K3 ($3.00/$15.00); custom tiered pricing available for higher volume
Tokengo pros
- Access to multiple leading AI models through one API key with competitive per-token pricing
- 99.99% uptime guarantee with intelligent fallback routing for seamless service continuity
- Privacy-first architecture with zero-retention policy and no data logging or sharing
- Performance optimizations including smart request routing, hardware adaptation, and KV cache reuse
Tokengo cons
- Pricing varies significantly by model; free tier or trial availability not clearly specified
- Relatively new service with limited public track record or case studies
- Performance optimizations available on some models only, not uniformly across the platform
Frequently asked questions about Tokengo
Who operates TokenGo?
TokenGo is a product of Thorbase Inc., a US Delaware C-Corporation with US contracting and invoicing.
What happens to my data?
TokenGo does not use prompts or outputs for training and maintains zero-retention policies. Data retention is limited to operational necessity under US law.
Who should use TokenGo?
Teams running significant token volume who want lower costs without changing their integration, AI-native businesses, and developers seeking access to multiple leading models via one API key.
Does TokenGo offer custom pricing?
Yes, custom pricing and tiered discounting are available based on monthly spend.