Inkling API Pricing
Thinking Machines · released Jul 15, 2026 · 66K context · API model ID thinkingmachines/Inkling
Inkling by Thinking Machines API pricing: $1.87 per 1M input tokens and $4.68 per 1M output tokens (provider list price via models.dev, Oct 10, 2026).
Prices
| Price | USD per 1M tokens |
|---|---|
| Input | $1.87 |
| Output | $4.68 |
| Cache read | $0.374 |
| Cache write | Not published |
Thinking Machines' list price for its own API, as compiled by models.dev and checked Oct 10, 2026, 09:00 UTC. Prices on cloud platforms and resellers can differ. Provider documentation
Estimated monthly cost
$1,263
per month
- per day
- $42.10
- per request
- $0.00421
Cannot estimate: a needed price is not published.
Cost = input tokens × input price + output tokens × output price, 30 days a month. Cached input uses the cache read price. Cache write fees are not included.
Monthly cost by workload
| Workload | Per month |
|---|---|
| Chatbot1,000 in / 500 out tokens, 10,000 requests a day | $1,263/mo |
| RAG8,000 in / 500 out tokens, 5,000 requests a day | $2,595/mo |
| Coding agent50,000 in / 2,000 out tokens, 1,000 requests a day, 80% cached input | $1,291/mo |
Context and capabilities
- Context
- 65,536 tokens
- Max output
- 65,536 tokens
- Input
- text, image
- Output
- text
- Knowledge cutoff
- Not published
- Open weights
- Yes
- Tool calling
- Yes
- Reasoning
- Yes
- Structured outputs
- No
Capabilities and limits as listed by models.dev.
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- Muse Spark 1.3 · $1.25 in / $4.25 out
Price history
No price changes since we started tracking on Oct 8, 2026.
Questions
- How much does Inkling cost per month?
- For a chatbot handling 10,000 requests a day with 1,000 input and 500 output tokens each, Inkling costs about $1,263 per month at Thinking Machines' list prices ($1.87 per 1M input tokens, $4.68 per 1M output tokens).
- Does Inkling support prompt caching?
- Yes. Cached input costs $0.374 per 1M tokens, compared with $1.87 for regular input.
- How long is Inkling's context window?
- Inkling accepts up to 65,536 tokens (66K) of context and returns up to 65,536 tokens per response.