Prism Ml lists 1 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 Prism Ml 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 $0.18 for Prism Ml. The cheapest paid models are PrismML: Ternary Bonsai 2 27B at $0.18 and ScaleDown: Extract at $0.03.
Is Prism Ml better than Scaledown?
It depends on the job: Scaledown offers the broader line-up (1 models vs 2), 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, Prism Ml or Scaledown?
Scaledown: Prism Ml lists 1 models and Scaledown lists 2.
Which provider has the longest context window?
Scaledown: Prism Ml's longest is PrismML: Ternary Bonsai 2 27B at 262K tokens; Scaledown's is ScaleDown: Extract at 1M.
Do Prism Ml or Scaledown offer free models?
Neither lists a free model; both are pay-per-token.
Which provider has models that can read images?
Prism Ml: 1 of 1 models accept images. Scaledown: 2 of 2.