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TokenGO vs Contextwaise

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 Contextwaise
DetailTokenGO logo TokenGOContextwaise logo Contextwaise
What it doesSelf-operated inference API for open-weight LLMs and video models Context optimization for production AI
StageNot given MVP
FoundedNot given Not given
Based inUS GB
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): Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
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
  • Removes duplicate context and off-topic results
  • Works with any LLM provider
  • API and SDK integrations
  • Quality guard checks if kept context is sufficient
  • Local cleanup of tool output and JSON fields
  • Fallback to original context on service failure
  • Per-agent budgets and token limits
  • Savings report showing cost avoided
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
  • Reduces input tokens to LLMs by 56–71% on average
  • Optimizes in milliseconds without slowing requests
  • No model or provider changes required
  • Every removal logged with reason and recoverable
Community votes00
DR (Domain Rating by Ahrefs)17 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)46
Citation Flow (Majestic)2719
Referring domains (Majestic)772

6 details filled in for both companies.

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