Inkling
Open weightsInkling is a language model from Thinking Machines with a 1M-token context window. Provider list price is $1.87 per million input tokens and $4.68 per million output; on Allocate you pay $2.00 and $5.01 with the 7% transaction fee. The weights are open under Apache 2.0, so you can fine-tune it and own the result.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
Provider list prices per M tokens, Inkling against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1.87 + 350 × $4.68 = $3,882 a month. Billed on Allocate it is $4,154 with the 7% transaction fee.
Inkling is an open-weights model under the Apache 2.0 license. Fine-tune it on your own data and the weights stay inside your boundary; they belong to you.
Example usage
Point a route at thinkingmachines/inkling and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "thinkingmachines/inkling", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Inkling cost per million tokens?
Provider list price is $1.87 per million input tokens and $4.68 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $2.00 in and $5.01 out.
What context window does Inkling have?
1,000,000 tokens (1M). At roughly 0.75 words per token, that is about 750k words of English text per request.
What does cached input cost on Inkling?
$0.37 per million tokens at list ($0.40 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.
Can I fine-tune Inkling?
Yes. Inkling is an open-weights model under the Apache 2.0 license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.
How do I call Inkling on Allocate?
Send thinkingmachines/inkling in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.