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 🙏

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