Best LLM for cold outreach writing? (Using Airtable AI fields)
Hey guys — quick question for the outbound nerds here. I’m building an outreach system inside Airtable where an AI field generates: 1 subject line 1 initial cold email 3 follow-ups (Short, human, no hype, no made-up numbers) I have access to these models: OpenAI: GPT-5.2, GPT-5.1, GPT-5, GPT-5 Mini, GPT-5 Nano, GPT-4.1, GPT-4.1 Mini, GPT-4o, GPT-4o Mini, GPT-4 Mini, GPT-3, GPT-3 Mini Claude: Claude 4.5 Summit / Office / HighQ, Claude 3.7 Summit, Claude 3.5 Summit / HighQ, Claude 3 HighQ Llama: Llama 3.3 70B, Llama 4 Maverick 17B, Llama 4 Scout 17B, Llama 3.1 8B Gemini: Gemini 3 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash Lite What I care about most: Sounds human (not “AI-ish”) Follows rules consistently (no random claims, no extra fluff) Strong first line + solid follow-ups Low token cost is a bonus, but conversion > cost If you’ve tested any of these for cold email: Which model wins for writing? Any “best combo” approach? (ex: small model for structure + big model for final polish) Any prompt tweaks that made a huge difference? Appreciate any real-world feedback 🙏