Inkling Small

Thinking Machines Lab
Inkling Small brings native text, image, and audio handling to a smaller sibling of Inkling. The open model has 276 billion total parameters, activates 12 billion, and places a 1M-token context in a 42-layer sparse MoE with global and local attention.
The release lists variable thinking effort, tool calls, and audio inputs with an ideal length of under two minutes. Thinking Machines reports better reasoning and agentic coding results than Inkling in its own release evaluation, while Inkling leads on knowledge and factuality. The weights use Apache 2.0.
The index averages rank percentiles from 10 documented comparison cohorts.
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Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall · Task fully resolved
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall · All-pass
higher is betterAs of September 29, 2026Scale: 0% - 100%
Overall
higher is betterAs of September 29, 2026Scale: 0% - 100%
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

A community classic for free-form SVG drawing.
Inkling Small

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)58.2 / 100
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 276BSource |
| Active parameters | 12BSource |
| Context window | 1,000,000 tokensSource |
| Notes | Open-weights MoE with 276B total parameters, 12B active parameters, and a 1M-token context window.Source |
| License | Apache-2.0Source |
| Release | 2026-07-30Source |
| Parameters | 276 BSource |
| Active parameters | 12 BSource |
| Architecture | 42-layer decoder-only transformer with sparse MoE, 6 of 256 routed experts plus 2 shared experts, hybrid local/global attentionSource |
| Input | Text, Image, AudioSource |
| Output | TextSource |
| Languages | English, multilingualSource |
| Reasoning mode | reasoning evaluations at effort=0.99; temperature 1.0 in the release evaluation setupSource |
| Tool calling | YesSource |