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TokenGO vs offrec

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 offrec
DetailTokenGO logo TokenGOoffrec logo offrec
What it doesSelf-operated inference API for open-weight LLMs and video models Zero-retention inference for frontier models
StageNot given Startup
FoundedNot given Not given
Based inUS MX
Pricing modelPaid Freemium
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): Pay as you go from $10. Monthly subscriptions: Run $19/month, Run Plus $99/month (5× allowance), Run Max $199/month (10× allowance). Model pricing per million tokens varies: qwen3.8-max $2.00 input/$6.00 output, claude-haiku-5-5 $0.10 input/$0.50 output, claude-sonnet-5 $2.00 input/$10.00 output, cl
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
  • Zero-retention guarantees with signed cryptographic receipts for every API call
  • OpenAI-compatible API endpoint
  • Web-based chat interface with encrypted conversations
  • Access to 15+ frontier models including Claude, Gemini, Qwen, DeepSeek
  • Python SDK and R package support
  • Receipts show token usage, cost, model, provider and retention basis
  • No data storage on offrec infrastructure
  • Models run on managed third-party providers
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
  • Every call returns a cryptographically signed receipt proving zero retention
  • No need to negotiate zero-retention terms with each provider individually
  • Unified access to frontier models from multiple labs via single API key
  • Offrec owns no infrastructure; models run on managed providers
  • Verifiable accountability through transparent receipt system
Community votes00
DR (Domain Rating by Ahrefs)17 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)270
Referring domains (Majestic)770

6 details filled in for both companies.

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