Google lists 58 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.
Scaledown is cheaper on a typical model: a median of $0.03 per 1M tokens (3:1 input/output) against $0.80 for Google. The cheapest paid models are Google: Gemma 2 9B at $0.04 and ScaleDown: Extract at $0.03.
Is Google better than Scaledown?
It depends on the job: Google offers the broader line-up (58 models vs 2), Scaledown the lower typical price, Google the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Which has more models, Google or Scaledown?
Google: Google lists 58 models and Scaledown lists 2.
Which provider has the longest context window?
Google: Google's longest is Google: Gemini 2.0 Flash at 1.0M tokens; Scaledown's is ScaleDown: Extract at 1M.