Thinking Machines: Inkling Small (batch)

Inkling Small (batch) is a Thinking Machines model that accepts text, image, and audio input and returns text. It offers a 524,288-token context window and can produce up to 262,144 tokens in a single completion, which suits long documents, large codebases, or extended multi-turn sessions. It supports tool calling and reasoning; structured output support is not documented, so verify it before relying on schema-constrained responses. At $0.36 per million input tokens and $0.96 per million output tokens, it sits at a low price point for a model with this context length and multimodal input. That makes it a candidate for teams running high-volume or long-context jobs where cost per token matters. However, it has no independent benchmark coverage yet, so its quality relative to alternatives is unproven. Shortlist it for testing on your own workloads rather than choosing it on published results.