Somehow GPT 6.1 Sol (medium) is cheaper per task ($0.21 vs $0.26) and faster per task (2.9 vs 4.9 minutes) vs v4.1 Flash 1017 (max). I hope AA adds other reasoning effort results of Deepseek so it'd be more realistic to compare it with oth…
What I really want to know for models like this is if I can have them run on really lame consumer hardware (consider 128gb of ram, 2080ti) with extremely low TPS, but with reasonable enough intelligence that you can walk away and expect so…
The old DeepSeek V4.1 Flash has been my workhorse model for the past month (after running tests comparing w/ Qwen 3.8 Flash Next, GLM 5.3 Flash, MiMo 2.6 Flash (including the MOPD fix)) and I've run tens of billions of tokens through it an…
Really wild that Deepseek's model is 536+16B (passive+active) parameter model and its really comparable to Mimo v2.6 Pro which is the current open source SOTA model which is at (978+42) This is half the size of Mimo and comes pretty damn c…
Just want to note that this model still does not work (read: sucks) for recognizing sheet music. The only model that works for me is Astra, but it's expensive.
It's too bad they couldn't make it smaller, but still very nice improvement. The new model: DeepSeek V4.1 Flash 1017 (Max) 552B A16B Matches GLM 5.3 753B A40B MiMo 1T A42B Nicely done!
DeepSeek V4.1 Flash 1017 Max is live on threejseval with 12 of its 16 Three.js scenes up so far. Same prompts as the rest of the field, blind human votes, ranked by quality and cost. It finished the 12 scenes at about $0.13 a scene. The ot…
I was doing some fairly heavy development on Flash 1017 yesterday for around ~3 hours on pi, and all told that session ran about $0.40. I probably could've saved myself more if I'd compacted the context more frequently, since at one point …
Other than openrouter & open code, are there any interesting providers for DeepSeek? Just looking to get maximum usage for my open source projects where I'm not worried about my data being used for training.