Thinking Machines: Inkling Rank
Inkling has an overall score of 71 out of 100, tied for rank 85 of 291. The published scores are price 53, context 62, parameters 75, and recency 95. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 85 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 95 | AI Release Date | |
| Context | 62 | 524K tokens, output 472K | AI Context Window |
| Parameters | 75 | 975B total, 41B active | AI Parameter Count |
| Price | 53 | $1.76 / 1M blended, $1 / 1M input, $4.05 / 1M output | AI Token Price |
84 listed models have a higher overall score. Among Thinking Machines models, it ranks 1 of 2.
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,...
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Frequently asked questions
What is the Inkling rank?
Inkling has an overall score of 71 out of 100, tied for rank 85 of 291. The published scores are price 53, context 62, parameters 75, and recency 95. The overall score is their average. freshness is not published and is left out of the average.
Where does Inkling rank?
Inkling is tied for rank 85 of 291. 84 listed models have a higher overall score. Among Thinking Machines models, it ranks 1 of 2.
What scores make up Inkling?
Inkling scores price 53 (AI Token Price), context 62 (AI Context Window), parameters 75 (AI Parameter Count), and recency 95 (AI Release Date). The overall score of 71 is the average of those 4.