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AstraKinetic vs Tensorant

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

AstraKinetic compared with Tensorant
DetailAstraKinetic logo AstraKineticTensorant logo Tensorant
What it doesUnified multi-provider AI infrastructure with intelligent routing, provider fallback, and usage-based billing Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Freemium
PricingUsage-based post-paid billing: USD $0.00024 per API request and USD $0.0046 per 1,000 tokens. Six-day free trial available for new accounts. 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
  • Chat and inference through public model aliases
  • Intelligent provider routing across 10 AI providers
  • Web search capability through the gateway
  • Web fetch for retrieving content without exposing credentials
  • Audio transcription workflows
  • Centralized usage analytics and request logging
  • Single API key authentication for all providers
  • Usage-based post-paid billing with no fixed plans
  • Public model aliases for simplified integration
  • 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
  • One unified API gateway eliminates managing separate integrations for multiple AI providers
  • Automatic provider fallback reduces dependence on any single AI service
  • OpenAI-style API simplifies developer integration
  • Centralized visibility of usage, routing, and billing across all providers
  • 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)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)1616
Referring domains (Majestic)33

5 details filled in for both companies.

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