Inkling Small with Jev
Inkling Small is a model from Thinking Machines, released 2026-07-30. It costs $0.450 per million input tokens and $1.20 per million output tokens, reads up to 524K tokens of context, and writes up to 262,144 tokens in one reply. Through llm11, set model to thinkingmachines/inkling-small.
- Input price
- $0.450 / 1M
- Output price
- $1.20 / 1M
- Context window
- 524K tokens
- Max output
- 262K tokens
- Cached input
- $0.100 / 1M
- Released
- 2026-07-30
- Accepts
- text, image, audio
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 54% of the 332 priced models we can call cost more.
Using Inkling Small with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Inkling Small does the answering when Jev sends it work, or when you name it yourself. At list price Inkling Small falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass thinkingmachines/inkling-small as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Inkling Small with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00047 | $0.465 |
| Question over retrieved documents | 4,000 / 500 | $0.00240 | $2.40 |
| Long document summary | 30,000 / 1,000 | $0.015 | $14.70 |
Cheaper models to try
The catalogue has no benchmark score for Inkling Small, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3 VL 235B A22B Instruct | $0.210 | $1.90 | 262K | |
| Cohere Command A+ | $0.300 | $1.50 | 192K | |
| Qwen Qwen3.5 Plus 2026-02-15 | $0.260 | $1.56 | 1M | |
| Google Gemini 3.1 Flash Lite | $0.250 | $1.50 | 1.05M |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="thinkingmachines/inkling-small",
messages=[{"role": "user", "content": "Hello"}],
)More from Thinking Machines
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Inkling | $1.00 | $4.05 | 524K |
Questions
- What is Inkling Small with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Inkling Small does the answering when Jev sends it work, or when you name it yourself. At list price Inkling Small falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass thinkingmachines/inkling-small as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Inkling Small a System One model?
- No. Inkling Small answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Inkling Small cost?
- $0.450 per million input tokens and $1.20 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00240, so a thousand of them is about $2.40. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Inkling Small context window?
- 524,288 tokens, with up to 262,144 tokens in a single reply.
- Does Inkling Small support tool calling and structured output?
- The catalogue lists tool calling and reasoning controls, but it does not list structured output.
- Can I use Inkling Small through llm11?
- Yes. Set model to thinkingmachines/inkling-small on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Inkling Small?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Inkling Small falls in the llm11-balanced band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass thinkingmachines/inkling-small as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Inkling Small?
- Nearest in price and below it: Qwen Qwen3 VL 235B A22B Instruct at $0.210 in and $1.90 out, Cohere Command A+ at $0.300 in and $1.50 out and Qwen Qwen3.5 Plus 2026-02-15 at $0.260 in and $1.56 out. The catalogue has no benchmark score for Inkling Small, so this is a price ordering. It does not claim these answer as well.