Spent the past months paying for Claude Max, ChatGPT Pro, Gemini, Kimi, Synthetic, NanoGPT. Most "best AI subscription" guides are alphabetized vendor lists. I wrote mine by what you're willing to spend per month.
Why ChatGPT Plus wins at $20: it's not about GPT-5.4 being the best model (it's not, Opus 4.6 is stronger for coding). It's the separate usage pools. Your chat quota and your Codex coding quota don't eat each other. Morning planning session doesn't touch afternoon coding. That's a real workflow win.
For context: Claude Pro at $20 is a trap for developers. You hit the Opus cap in ~30 min and get locked out entirely for 4.5 hours. No fallback. Nothing.
At $200: Claude Max 20x beats ChatGPT Pro 20x for coding (Opus 4.6 + Claude Code). ChatGPT Pro 20x beats Claude for planning and reasoning (GPT-5.4 Pro). The power-user pattern I see working: plan with ChatGPT Pro, implement with Claude.
At $100: Claude Max 5x and the brand new ChatGPT Pro 5x go head to head. Same trade-off. Code-heavy: Claude. Planning-heavy: ChatGPT Pro.
Under $20: Google AI Plus at $7.99 beats ChatGPT Go at $8. Full Gemini 3.1 Pro flagship vs GPT-5.3 Instant. Not close unless you specifically need Custom GPTs.
Subs mainstream blogs don't cover: Synthetic.new (~$80/mo) for open-source agent work, Kimi K2.5 Pro ($99/mo) with API pricing 5-6x cheaper than Claude, NanoGPT (~$8) for tinkering.
Anyone else using the separate chat + Codex pools as a feature? Or do most people here not touch Codex at all?
Full breakdown with benchmarks, recommended stacks, and a master comparison table: https://llmx.tech/blog/best-value-llm-subscriptions-2026/
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