256K
text, image
text
Supported
About this model
Inkling-Small is a general-purpose multimodal Mixture-of-Experts (MoE) model featuring 266B total parameters with only 12B active during inference. Natively processing text, image, and audio inputs, it supports a 256K token context window and variable thinking effort. Despite being a quarter of the size of the flagship Inkling model, it matches or exceeds its predecessor on key coding and agentic tasks while requiring significantly less compute.
Input modalities
text
Accepted as model input
image
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.300 / 1M tokens
Output tokens
$1.200 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.300 / 1M tokens |
| Output tokens | $1.200 / 1M tokens |
| Cached input tokens | $0.060 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "thinkingmachines/Inkling-Small", "messages": [ { "role": "user", "content": "Hello!" } ] }'
Community Model Reviews & Ratings
Verified visitor & developer evaluations on Thinking Machines: Inkling Small's real-world intelligence, code accuracy, and speed
No community reviews yet
Be the first to share developer feedback on Thinking Machines: Inkling Small's latency, code accuracy, and reliability in production.