Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of the Inkling family, accepting text and image input and returning text.
Released July 30, 2026.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Thinking Machines documents Inkling-Small as suited for building agentic and tool-use systems, including tasks where the model needs to act on tools while reasoning. It is also documented for coding assistants, with support for multiple coding languages and use in developer-facing coding workflows.
The model is documented as suitable for chatbots and general-purpose conversational use, including instruction-following and other natural language tasks. It is also described for retrieval-augmented generation systems, where it can support applications that combine retrieved information with model responses.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "thinkingmachines/inkling-small", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "thinkingmachines/inkling-small", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"thinkingmachines/inkling-small","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
Cached input billed at $0.1508 / 1M tokens.
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 26.1 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 52.9 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| SWE-bench Verified | 80.2% | Resolving verified real GitHub issues | Source | September 21, 2026 |
| GPQA Diamond | 89.5% | Google-proof graduate science questions (hardest subset) | Source | September 21, 2026 |
| Humanity's Last Exam | 31.6% | Expert-level questions across many domains | Source | September 21, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Inkling Small This page | Efficient open-weight multimodal reasoning |
Inkling Small has a 524,288 tokens context window and can return up to 262,144 tokens.
Inkling Small takes image, text as input and returns text.
Use thinkingmachines/inkling-small as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Inkling Small became available on July 30, 2026.
Inkling Small is priced at input $0.797732 / 1M tokens, output $1.980576 / 1M tokens, cached input $0.1595464 / 1M tokens.
Yes, Inkling Small can stream responses as they are generated.
Yes, Inkling Small accepts image input alongside text.
Inkling Small was built by Thinking Machines.