thinkingmachines · Open weights
Inkling Small
The direct-answer version of Thinking Machines' 276B-parameter open-weights multimodal Mixture-of-Experts model with 12B active parameters. It accepts text and images, and is designed for coding, tool use, instruction following, and general conversational work.
- Tools
- Vision
- Audio input
- Input
- Text, Images, Audio
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.45
- Output
- $1.20
- Cache read
- $0.10
Reference prices as published by the model provider. API example
Specifications
- Context window
- 524.3K
- Max output
- 32.8K
- Average output (7 days)
- 577 tokens
- Longer than 54% of 465 models
Side by side
Inkling Small compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Inkling SmallthinkingmachinesThis model | Inkling Small ThinkingthinkingmachinesRemove | |
|---|---|---|
| Provider | thinkingmachines | thinkingmachines |
| Discovery tier | Open weights | Open weights |
| Added | Jul 31, 2026 | Jul 31, 2026 |
| Limits | ||
| Context window | 524.29K | 524.29K |
| Max output | 32.77K | 32.77K |
| Average output | 577 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.45 | $0.45 |
| Output | $1.20 | $1.20 |
| Cache read | $0.10 | $0.10 |
| Benchmark indexes | ||
| Intelligence Index | 25.7 | 25.7 |
| Coding Index | 52.9 | 52.9 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Audio input | Yes | Yes |
| Reasoning effort | — | minimal, low, medium, high, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Inkling Small
- Inkling Small Thinking
Intelligence Index
- Inkling Small25.7
- Inkling Small Thinking25.7
Inkling Small: Better than 62% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Inkling Small: 52.9Top
- Inkling Small Thinking: 52.9Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Inkling Small: 4.8%Top
- Inkling Small Thinking: 4.8%Top
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Inkling Small: 0.6%Top
- Inkling Small Thinking: 0.6%Top
Harvey LAB-AAv1.1
Legal tasks passed in full, with no material hallucination
- Inkling Small: 0.0%Top
- Inkling Small Thinking: 0.0%Top
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Inkling Small: 911 EloTop
- Inkling Small Thinking: 911 EloTop
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Inkling Small: 1,124 EloTop
- Inkling Small Thinking: 1,124 EloTop
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Inkling Small: 11.2%Top
- Inkling Small Thinking: 11.2%Top
AA-LCRv1.1
Reasoning across long documents
- Inkling Small: 75.7%Top
- Inkling Small Thinking: 75.7%Top
MLCR-AA
Long-context reasoning over medical records
- Inkling Small: 7.8%Top
- Inkling Small Thinking: 7.8%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Inkling Small: 33.3%Top
- Inkling Small Thinking: 33.3%Top
GPQA Diamond
Graduate-level science questions
- Inkling Small: 89.5%Top
- Inkling Small Thinking: 89.5%Top
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Inkling Small: 1.0%Top
- Inkling Small Thinking: 1.0%Top
SciCode
Scientific computing in Python
- Inkling Small: 49.7%Top
- Inkling Small Thinking: 49.7%Top
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Inkling Small: 75.7%Top
- Inkling Small Thinking: 75.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "thinkingmachines/Inkling-Small",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="thinkingmachines/Inkling-Small",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)thinkingmachines
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