Inference.net lists 2 models and Sakana 5. Inference.net is cheaper on a typical model ($0.08 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 Sakana cost?
Inference.net is cheaper on a typical model: a median of $0.08 per 1M tokens (3:1 input/output) against $3.00 for Sakana. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and Sakana: Namazu at $1.71.
Is Inference.net better than Sakana?
It depends on the job: Sakana offers the broader line-up (2 models vs 5), Inference.net the lower typical price, Sakana 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 Sakana?
Sakana: Inference.net lists 2 models and Sakana lists 5.
Which provider has the longest context window?
Sakana: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; Sakana's is Sakana: Fugu Max at 1M.
Do Inference.net or Sakana 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. Sakana: 5 of 5.