Thinking Machines: Inkling
thinkingmachines/inkling- Modalities
- text+image+audio->text
- In / out price
- $1 / $4.05
- Context
- 524K
- Released
- Jul 17, 2026
- Knowledge cutoff
- —
per 1M
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Supported parameters
frequency_penaltyFrequency penalty
Lowers the chance of a token in proportion to how often it already appeared.
include_reasoningInclude reasoning
Include a reasoning summary in the response.
logit_biasLogit bias
Add or subtract from token ids to encourage or ban them.
max_tokensMax tokens
Upper bound on generated tokens. Output stops at the limit.
min_pMin-p
Drops tokens below this probability threshold.
presence_penaltyPresence penalty
Lowers the chance of any token that has already appeared.
reasoningReasoning
Enable or configure reasoning. The fields differ by model.
reasoning_effortReasoning effort
How much compute to spend reasoning. Often low, medium, or high.
repetition_penaltyRepetition penalty
Penalizes text that already appeared. Common on open models.
seedSeed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
stopStop
Stop when these strings are produced. A string or an array of strings.
temperatureTemperature
Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.
tool_choiceTool choice
Whether to call a tool: auto, none, or a named function.
toolsTools
Function definitions the model may call via tool_calls.
top_kTop-K
Sample only from the K most likely tokens.
top_pTop-p
Sample only from tokens whose cumulative probability reaches top_p.