Thinking Machines / thinkingmachines/inkling-2-small

Inkling 2 Small - access through LLMTR

Inkling 2 Small is a second-generation Inkling model from Thinking Machines: a Mixture-of-Experts architecture with 594 billion total and 17 billion active parameters per token, trained for agentic coding and multi-step tool use. It reasons step by step before answering, and you tune that effort with `reasoning_effort` across six levels from none (off) to xhigh. It accepts images as base64 data URLs; it does not accept audio input. It makes tool/function calls and can call several tools in one turn, produces JSON object output, and supports prompt-cache reads. It offers a 256K context window. Reasoning tokens are returned inside `completion_tokens` and billed as output.

Technical specifications

Canonical IDthinkingmachines/inkling-2-small
ProviderThinking Machines
Context window262,144 tokens
OperationsCHAT_COMPLETIONS
Modalitiestext, image

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$0.300000
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENS$0.030000
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$1.00

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"thinkingmachines/inkling-2-small","messages":[{"role":"user","content":"Hello"}]}'

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