Tensorant vs RouteMux

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 RouteMux
Detail	Tensorant	RouteMux
What it does	Fine-tune and serve open-weight models on your own cloud GPUs without managing ML infrastructure	One API for hundreds of AI models with unified billing and refundable balance
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	Not given
Pricing model	Freemium	Paid
Pricing	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	Usage-based prepaid credits with transparent per-token pricing. Examples: GPT-6.1 Terra from $0.15 input / $0.75 output per 1M tokens; Claude Haiku 5.5 from $0.03/M input / $0.12/M output; Claude Opus 5.5 from $1.12/M input / $5.6/M output. First top-up receives 10% bonus credits (up to $200, minimu
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	One API for hundreds of models across OpenAI, Anthropic, Google, DeepSeek, MiniMax and more OpenAI, Anthropic, and Vertex protocol compatibility Multi-layer redundancy with automatic failover Usage-based billing with no monthly minimum Only successful requests are billed, failures are free Refundable balance at any time Visible rate limits per account Support for text, image and video workloads
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	Reliability-first architecture with multi-layer redundancy across network, gateway and model layers Transparent, refundable balance instead of locked-in subscriptions Unified billing across all model families with one invoice Health-aware routing across vendors with automatic failover
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	23 +1 (up) since last check
Trust Flow (Majestic)	0	4
Citation Flow (Majestic)	16	29
Referring domains (Majestic)	3	16

5 details filled in for both companies.

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