Inference.net lists 2 models and Thinking Machines 6. 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 Thinking Machines cost?
Inference.net is cheaper on a typical model: a median of $0.08 per 1M tokens (3:1 input/output) against $1.22 for Thinking Machines. The cheapest paid models are Inference.net: Schematron V2 Turbo at $0.06 and Thinking Machines: Inkling Small at $0.64.
Is Inference.net better than Thinking Machines?
It depends on the job: Thinking Machines offers the broader line-up (2 models vs 6), Inference.net the lower typical price, Thinking Machines 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, Inference.net or Thinking Machines?
Thinking Machines: Inference.net's longest is Inference.net: Schematron V2 Small at 128K tokens; Thinking Machines's is Thinking Machines: Inkling (free) at 1.0M.
Do Inference.net or Thinking Machines offer free models?