Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Model details →Thinking Machines: Inkling vs Google Gemini Pro Latest
Thinking Machines: Inkling wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This model always redirects to the latest model in the Google Gemini Pro family.
Model details →Side-by-side comparison
| Capability | Thinking Machines: Inkling | Google Gemini Pro Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.00 | $2.00 | 🏆 Thinking Machines: Inkling |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.05 | $12.00 | 🏆 Thinking Machines: Inkling |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Thinking Machines: Inkling better than Google Gemini Pro Latest?
Thinking Machines: Inkling wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Thinking Machines: Inkling and Google Gemini Pro Latest?
Input: $1.00 vs $2.00 per 1M tokens. Output: $4.05 vs $12.00 per 1M tokens.
What context windows do Thinking Machines: Inkling and Google Gemini Pro Latest support?
Thinking Machines: Inkling supports up to 1.0M tokens. Google Gemini Pro Latest supports up to 1.0M tokens.
Do both Thinking Machines: Inkling and Google Gemini Pro Latest support tool calling?
Thinking Machines: Inkling: yes. Google Gemini Pro Latest: yes.
Compare Thinking Machines: Inkling with other models
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