3 ms·
200k context window $1.1/m for input $4.4/m for output I assume thinking medium and hard would consume more tokens. I feel the timing is bad for this releas
by Oras 2y ago
200k context window
$1.1/m for input
$4.4/m for output
I assume thinking medium and hard would consume more tokens.
I feel the timing is bad for this release especially when deepseek R1 is still peaking. People will compare and might get disappointed with this model.
- GaggiX 2y agoThe model looks quite a bit better in the benchmarks so unless they overfit the model on them it would probably perform better than deepseek.
- WiSaGaN 2y agoMy vibe question checking suggests otherwise. Even o3-mini-high is not as good as r1, even though it's faster than r1. Considering o3-mini is more expensive per token. It's not clear o3-mini-high is cheaper than r1 either even r1 probably consumes more token per answer.
- kandesbunzler 2y agowell in my anecdotal tests, o3 mini (free) performed better than r1
- kandesbunzler 2y agoI compared free o3 mini vs Deepseek R1 (on their website) and in my tests o3 performed better every time (did some coding tests)