@itsolelehmann: The best model setups to run on Hermes (by price tier): 1. If you have infinite budget: Go with GPT 5.5 or Claude Opus …

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Summary

This post outlines budget-tiered AI model configurations for the Hermes application, recommending premium options like GPT 5.5 and Claude Opus 4.7 for unlimited budgets, cost-effective fallbacks like DeepSeek V4 Flash for tighter budgets, and local deployment via Qwen 3.6 for zero-cost inference.

The best model setups to run on Hermes (by price tier): 1. If you have infinite budget: Go with GPT 5.5 or Claude Opus 4.7. Both are top class and you'll feel the difference on any non-trivial task. I use GPT 5.5 because of the Codex login. It logs into your actual ChatGPT account so the usage hits your existing subscription (no separate API bill). Anthropic doesn't allow the same for Claude, so if you go with Opus 4.7 you're paying expensive API fees on top of whatever you're already paying for Claude. At OpenAI's $120/mo tier and up, you basically won't hit rate limits during a normal workday. 2. If you have a tighter budget: Run GPT 5.5 with DeepSeek V4 Flash as a fallback for when you blow through your $20/mo ChatGPT limits. If you'd rather never hit limits at all, swap GPT 5.5 for GPT 5.4 mini as your primary model. Or skip ChatGPT entirely and just use DeepSeek V4 Flash on its own and you should come in under $30/mo for a typical month. 3. If you have a beefy local machine: Qwen 3.6 is the best setup. Zero per-token cost once it's running and your code never leaves your machine. Pick the one that matches your monthly spend and start there. Anything I'm missing / other setups you'd recommend?
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