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Opper vs Tensorant

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

Opper compared with Tensorant
DetailOpper logo OpperTensorant logo Tensorant
What it doesEuropean AI Gateway for accessing 700+ models through one API Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
StageNot given Not given
Founded2023 Not given
Based inSE Not given
Pricing modelFreemium Freemium
PricingFree models available at signup with no credit card required. Gateway plan: 3% platform fee on credits. Control Plane plan: 5.5% platform fee on credits plus flat-rate per-check billing for LLM checks. Token rates are provider rates with no markup. No minimums, no lock-in. Enterprise plans include v Free: $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
Key features
  • Access to 700+ models from 50+ providers
  • Spend limits and cost controls by project, role, user or key
  • Zero data retention by default with customizable trace storage
  • OpenAI SDK compatible with streaming and tool calling
  • Model routing with fallback options
  • LLM checks for flagging, redacting, blocking or scoring
  • Management API for infrastructure-as-code
  • SSO/SAML and role-based access control
  • JevMan Pac-Man benchmark for decision models
  • AI Roundtable for multi-model reasoning comparison
  • 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
What makes it different
  • No token markup: provider rates passed through unchanged
  • Zero data retention by default with flexible options
  • Fully OpenAI SDK compatible for easy migration
  • Pay-as-you-go with no minimums or lock-in
  • 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
Community votes00
DR (Domain Rating by Ahrefs)56 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)170
Citation Flow (Majestic)4016
Referring domains (Majestic)7793

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