← All flat-rate plans compared

Cursor Premium / Ultra vs Featherless

An editor versus an inference plan, comparable only if you'd wire Featherless into your own tooling. Cursor is the pick for a polished product; Featherless is the pick for per-token open-weight models (Developer plan, from $50) feeding agents you assemble yourself. Different buyers, honestly.

Facts verified 2026-10-14
Cursor Premium / Ultra
$30 / $200 per mo (Plus $8, Super $100)
Models: Grok models included; third-party models billed separately
What "flat" means: Fixed price buying a weekly Grok usage pool sized as a multiple of Plus (Premium 4x, Super 15x, Ultra 50x), sold as a bundle with X Premium.
The catch: Claude, GPT and Gemini are not in the monthly price and bill separately at API list price, so outside Grok it is pay-as-you-go. Plus is Grok-only, and the pool's size in dollars or tokens isn't published.
Pick Cursor Premium / Ultra when
+You want the most polished AI-editor experience available
+In-editor Tab, chat, and agent in one tool outweighs raw usage volume
+Your monthly usage fits the plan's included value
Featherless
$25 (Chat) / from $50 (Developer) per mo
Models: Open-weight only (DeepSeek, GLM, Kimi…)
What "flat" means: Chat plan: flat price with uncapped tokens, but for chat typed by you. Developer plan: monthly credits billed per token.
The catch: The flat-price Chat plan excludes coding agents and API traffic (32K context, 4 concurrent units); coding agents need the per-token Developer plan (up to 256K context).
Pick Featherless when
+Open-weight models genuinely cover your quality needs
+You chat with open-weight models yourself and want uncapped tokens at a low flat price
+Model pinning on the open-weight universe matters to you
Featherless vs Standard Compute →

This comparison is maintained by Standard Compute. We sell a third thing entirely (flat-rate LLM compute with a fixed monthly budget, from $19/mo), so we have no horse in this particular race and keep both sides honest. If neither plan above fits because the meter itself is your problem: the full comparison including us →

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