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Tensorant vs offrec

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

Tensorant compared with offrec
DetailTensorant logo Tensorantoffrec logo offrec
What it doesFine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure Zero-retention inference for frontier models
StageNot given Startup
FoundedNot given Not given
Based inNot given MX
Pricing modelFreemium Freemium
PricingFree: $0 (1 training run per month, 1 model deployment, 1 member); Starter: $49/month (5 training runs per month, 5 model deployments, 1 member); Pro: $199/month (unlimited training runs, 1,000 model deployments, 10 included members, $30/month for each extra seat); Enterprise: custom pricing. Free i 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
  • Train models with SFT, DPO, or RL using LoRA or QLoRA
  • Monitor training with real-time loss, time and cost tracking
  • Evaluate models by comparing base and tuned performance
  • Serve models as OpenAI-compatible API or wake-on-demand
  • Support for vision models including Gemma 4 and Qwen3.8
  • DPO preference learning from paired answers
  • Run budget-controlled experiments with hour and price limits
  • Download adapters as standard LoRA files or publish to Hugging Face
  • 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
  • No training scripts required; workflow runs in console, CLI or via AI agent
  • GPU costs billed by your provider with zero markup from Tensorant
  • Data stays in your own storage; Tensorant keeps only workflow records
  • Free plan covers complete workflow on one model from import to API
  • Models are downloadable and portable to other platforms
  • 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)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)160
Referring domains (Majestic)30

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