Inference Net lists 2 models and Scaledown 2. Scaledown is cheaper on a typical model ($0.03 per 1M tokens median). Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
For each workload: the cheapest model from each provider that can actually do it (fits the context window; tool calling required for the agent), and its monthly cost at list price.
How does Inference Net cost compare with Scaledown cost?
Scaledown is cheaper on a typical model: a median of $0.03 per 1M tokens (3:1 input/output) against $0.08 for Inference Net. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and ScaleDown: Extract at $0.03.
Is Inference Net better than Scaledown?
It depends on the job: both list 2 models, Scaledown the lower typical price, Scaledown the longest context (1M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Which has more models, Inference Net or Scaledown?
Neither — both list 2 models.
Which provider has the longest context window?
Scaledown: Inference Net's longest is Inference.net: Schematron V2 Small at 128K tokens; Scaledown's is ScaleDown: Extract at 1M.
Do Inference Net or Scaledown offer free models?
Neither lists a free model; both are pay-per-token.
Which provider has models that can read images?
Inference Net: 0 of 2 models accept images. Scaledown: 2 of 2.