Nat Emodi pfp
Nat Emodi
@emodi
what’s your current daily driver for LLMs — the model you use the most?
13 replies
1 recast
29 reactions
Tayyab - d/acc pfp
Tayyab - d/acc
@tayyab
Sonnet 4, o3. Mostly for code 4o still for dumb questions like “what’s the population of Iran”
1 reply
0 recast
11 reactions
Jason pfp
Jason
@jachian
Sonnet 4, Gemini 2.5
1 reply
0 recast
4 reactions
Colin Charles pfp
Colin Charles
@bytebot
Sonnet 4, o3, Gemini 2.5 pro
1 reply
0 recast
1 reaction
Eduxdux pfp
Eduxdux
@eduxdux
Sonnet and codestral (I use codestral on my n8n flows)
0 reply
0 recast
2 reactions
Goksu Toprak pfp
Goksu Toprak
@gt
ChatGPT 4o.
0 reply
0 recast
1 reaction
Frank pfp
Frank
@deboboy
qwen3:0.6b
0 reply
0 recast
1 reaction
Mantej Rajpal pfp
Mantej Rajpal
@mantej
sonnet/opus 4 for code o3 for sensitive stuff bc we have an enterprise license grok for random questions
0 reply
0 recast
1 reaction
Matthew Fox 🌐 pfp
Matthew Fox 🌐
@matthewfox
claude for code/project scoping/managing openai image gen for autoregressive generations (scene consistency) veo for video (still use veo 2 a lot but using veo 3 more and more)
0 reply
0 recast
1 reaction
JAstra pfp
JAstra
@jastra
Gemini 2.5 Pro, Perplexity Pro, 4o. If I have to pick one, Gemini 2.5 Pro is relatively more all-rounded. But I wouldn't just use one cause different LLMs have their own strength
0 reply
0 recast
1 reaction
nemb pfp
nemb
@nemb
Gemini 2.5 Pro, close to that is Sonnet 4 Thinking, then Qwen3-235B
0 reply
0 recast
1 reaction
Junit.base.eth pfp
Junit.base.eth
@junit
Sonet4 pro
0 reply
0 recast
1 reaction
avi pfp
avi
@avichalp.eth
sonnet and opus
0 reply
0 recast
1 reaction
Wonderien 🏴‍☠️ 😼 pfp
Wonderien 🏴‍☠️ 😼
@wonderien
@venice-ai
0 reply
0 recast
0 reaction
bartol.base.eth pfp
bartol.base.eth
@bartol.eth
GPT 4o
0 reply
0 recast
0 reaction