Hi, I have some questions regarding reasoning params.
Is there any point of using o3-mini-high, if I specify the reasoning effort myself?
How can I find out the max supported values for reasoning max_tokens?
How do I even know if a given model supports reasoning or not?
For example here is r1:
{
"id": "deepseek/deepseek-r1",
"name": "DeepSeek: R1",
"created": 1737381095,
"description": "DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120).\n\nMIT licensed: Distill & commercialize freely!",
"context_length": 65536,
"architecture": {
"modality": "text->text",
"tokenizer": "DeepSeek",
"instruct_type": "deepseek-r1"
},
"pricing": {
"prompt": "0.00000055",
"completion": "0.00000219",
"image": "0",
"request": "0",
"input_cache_read": "0",
"input_cache_write": "0",
"web_search": "0",
"internal_reasoning": "0"
},
"top_provider": {
"context_length": 65536,
"max_completion_tokens": 8192,
"is_moderated": false
},
"per_request_limits": null
}