Inkling 256K
Text Generation • thinkingmachines
thinkingmachines/inkling-256k
- Third-party
The 256K-context variant of Inkling, Thinking Machines' open-weights hybrid reasoning MoE model. Same hybrid reasoning, tool-use, and streaming support as the base model, with an extended context window for longer conversations and documents. Currently intended for low-traffic testing and internal use rather than high-throughput production deployments.
| Model Info | |
|---|---|
| Context Window ↗ | 262,144 tokens |
| More information | link ↗ |
| Request formats | Anthropic Messages |
| Pricing | <ul><li>Input (per 1M tokens)$3.74</li><li>Output (per 1M tokens)$9.36</li><li>Cached input (per 1M tokens)$0.748</li><li>Cache creation (per 1M tokens)$3.74</li></ul> |
Usage
const response = await env.AI.run(
'thinkingmachines/inkling-256k',
{ max_tokens: 512, messages: [{ content: 'The capital of France is', role: 'user' }] },
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/messages \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "thinkingmachines/inkling-256k",
"max_tokens": 512,
"messages": [
{
"content": "The capital of France is",
"role": "user"
}
]
}'
The capital of France is **Paris**.
{
"id": "msg_f3f0874570144f29add4272d4f07491d",
"type": "message",
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "The user is asking \"The capital of France is\". This is a straightforward factual question. The capital of France is Paris. I should provide the answer clearly and concisely.",
"signature": ""
},
{
"type": "text",
"text": "The capital of France is **Paris**."
}
],
"model": "thinkingmachines/Inkling:peft:262144",
"stop_reason": "end_turn",
"usage": {
"input_tokens": 0,
"output_tokens": 52,
"cache_creation_input_tokens": 19,
"cache_read_input_tokens": 0
}
}
Examples
<details>
<summary>Tool Use — Tool use round-trip: the model requests a tool call, then answers using the tool_result supplied in a follow-up user message</summary>
const response = await env.AI.run(
'thinkingmachines/inkling-256k',
{
max_tokens: 1024,
messages: [
{ content: "What's the weather in Paris?", role: 'user' },
{
content: [
{
id: 'toolu_01A1x1x1x1x1x1x1x1x1x1x1',
input: { city: 'Paris' },
name: 'get_weather',
type: 'tool_use',
},
],
role: 'assistant',
},
{
content: [
{
content: 'Sunny, 22°C',
tool_use_id: 'toolu_01A1x1x1x1x1x1x1x1x1x1x1',
type: 'tool_result',
},
],
role: 'user',
},
],
tools: [
{
description: 'Get the current weather for a city.',
input_schema: {
properties: { city: { type: 'string' } },
required: ['city'],
type: 'object',
},
name: 'get_weather',
},
],
},
)
console.log(response)
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/messages \
--header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
--header "Content-Type: application/json" \
--data '{
"model": "thinkingmachines/inkling-256k",
"max_tokens": 1024,
"messages": [
{
"content": "What'\''s the weather in Paris?",
"role": "user"
},
{
"content": [
{
"id": "toolu_01A1x1x1x1x1x1x1x1x1x1x1",
"input": {
"city": "Paris"
},
"name": "get_weather",
"type": "tool_use"
}
],
"role": "assistant"
},
{
"content": [
{
"content": "Sunny, 22°C",
"tool_use_id": "toolu_01A1x1x1x1x1x1x1x1x1x1x1",
"type": "tool_result"
}
],
"role": "user"
}
],
"tools": [
{
"description": "Get the current weather for a city.",
"input_schema": {
"properties": {
"city": {
"type": "string"
}
},
"required": [
"city"
],
"type": "object"
},
"name": "get_weather"
}
]
}'
The weather in Paris is sunny with a temperature of 22°C.
{
"id": "msg_5711f240c8da46eeb462f8900281d087",
"type": "message",
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "The user asked for the weather in Paris. The function returned \"Sunny, 22°C\". I should provide a clear, concise answer.",
"signature": ""
},
{
"type": "text",
"text": "The weather in Paris is sunny with a temperature of 22°C."
}
],
"model": "thinkingmachines/Inkling:peft:262144",
"stop_reason": "end_turn",
"usage": {
"input_tokens": 0,
"output_tokens": 49,
"cache_creation_input_tokens": 95,
"cache_read_input_tokens": 0
}
}
</details>
Parameters
▶messages[]
arrayrequired
max_tokens
numberrequiredexclusiveMinimum: 0
system
string
temperature
numberminimum: 0maximum: 1
top_p
numberminimum: 0maximum: 1
top_k
numberexclusiveMinimum: 0
stream
boolean
▶metadata{}
object
id
string
type
stringconst: message
role
stringconst: assistant
▶content[]
array
model
string
stop_reason
string
▶usage{}
object
API Schemas (Raw)
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