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Thinking Machines
Access 4 models from Thinking Machines through the Impossibl API, including Inkling, Inkling 256K, and Inkling Small. Compare pricing per million tokens, context windows, and capabilities between different Thinking Machines models.
models
4
modalities · in → out
takes text and image in, gives text out
latest release
InklingJul 15, 2026
- Inkling
thinkingmachines/inkling
Inkling is Thinking Machines Lab's open-weight multimodal mixture-of-experts model, a broad foundation model for reasoning, coding, agentic tool use, and fine-tuning.
Thinking MachinesText generationimage input
- context
- 65.54ktokens
- input price
- $1.87/1m tokens
- output price
- $4.68/1m tokens
- released
- Inkling 256K
thinkingmachines/inkling-256k
Inkling 256K is the extended-context serving option for Thinking Machines Lab's Inkling, its open-weight multimodal mixture-of-experts model.
Thinking MachinesText generationimage input
- context
- 262.14ktokens
- input price
- $3.74/1m tokens
- output price
- $9.36/1m tokens
- released
- Inkling Small
thinkingmachines/inkling-small
Inkling Small is Thinking Machines Lab's smaller open-weight generalist for reasoning, coding, and tool use.
Thinking MachinesText generationimage input
- context
- 65.54ktokens
- input price
- $0.58/1m tokens
- output price
- $1.44/1m tokens
- released
- —
- Inkling Small 256K
thinkingmachines/inkling-small-256k
Inkling Small 256K is the extended-context serving option for Thinking Machines Lab's smaller open-weight generalist.
Thinking MachinesText generationimage input
- context
- 262.14ktokens
- input price
- $1.16/1m tokens
- output price
- $2.89/1m tokens
- released
- —
compare Thinking Machines models
compare models with the same model type and billing unit. each comparison includes published api prices, context limits, and capabilities.
frequently asked questions
Which Thinking Machines models are available through Impossibl?
The directory lists 4 models from Thinking Machines available through the Impossibl API, including Inkling, Inkling 256K, and Inkling Small. Open each model page for its API identifier, capabilities, and current pricing.
How much do Thinking Machines models cost?
Thinking Machines model prices vary by model and usage. All rates below are published base API rates in USD. For token-priced models, published input rates start at $0.58 per million input tokens. Published output rates start at $1.44 per million output tokens. Input and output minima may refer to different models. Individual model pages include published cache prices and billing units. Applicable fees and workspace-specific pricing can affect the amount paid.
What is the cheapest Thinking Machines model?
By published input rate, the cheapest Thinking Machines text generation model on Impossibl is Inkling Small (thinkingmachines/inkling-small) at $0.58 per million input tokens and $1.44 per million output tokens. Cheapest by input rate is not always cheapest for a workload; output-heavy or cached requests can favor another model.
Does Impossibl add a markup to Thinking Machines pricing?
No. Usage is charged at the provider's list price with 0% usage markup. Prepaid credit purchases include a 5% platform fee, and there is no subscription. The rates on this page are Thinking Machines's published base rates, and usage comes off your balance when the request finishes.
What context windows do Thinking Machines models support?
Among Thinking Machines models with a published limit on Impossibl, the largest context window is 262,144 tokens, listed for Inkling 256K and Inkling Small 256K. Context limits vary by model and are separate from maximum output limits.
What inputs and capabilities do Thinking Machines models support?
Available model types include text generation. Published input support includes image and text; support varies by model. Tool-calling support is unspecified for 4 models.
How do I use Thinking Machines models through an API?
Use the exact model identifier from the model page with the Impossibl API. For example, select thinkingmachines/inkling with /v1/chat/completions. Endpoint compatibility depends on the selected model. The API quickstart explains how to create an API key and send a request.