Giotto.ai / giotto/giotto-alto
Giotto Alto - access through LLMTR
Giotto Alto is Giotto.ai's reasoning model. It can use its own tools, such as reading web pages and running code, before it answers, so a reply takes from a few seconds to a minute or more and arrives in one piece. It takes text and images (base64 or https) and returns text. reasoning_effort accepts medium (the default) and high; high checks the answer before returning it and uses about twice the tokens. Every request also carries about 8,000 input tokens of the model's own instructions, and each step the model takes is billed, so read the cost from the usage of each response. Function tools, response_format and stop are not supported; temperature, top_p and max_tokens are not applied, so the answer length cannot be capped. Memory, calendar, mail and document tools tied to a personal account are not available, and a request that tries to use them is refused.
Technical specifications
| Canonical ID | giotto/giotto-alto |
|---|---|
| Provider | Giotto.ai |
| Context window | 120,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $2.5862 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $12.931002 |
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":"giotto/giotto-alto","messages":[{"role":"user","content":"Hello"}]}'
Guides about this model
- What is Giotto Alto? API pricing, per-request cost and reasoning levels - giotto/giotto-alto is Giotto.ai's model that accepts text and image input. Input costs about $2.59 and output about $12.93 per 1M tokens; the context window is 120,000 tokens. Every request carries the model's own instructions, about 8,000 input tokens.
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