Unlimited Claude and Codex AI model access for developers, priced flat.
Product memo
Developers and coders hitting AI model limits gain unrestricted access to Claude and Codex models through this service. It removes rate limits and token caps, replacing per-token friction with a flat monthly fee. This approach targets heavy users, offering a unified API key and a usage monitoring dashboard to simplify continuous AI-powered development.
For who
Developers and coders hitting AI model limits
Solves what
Provides unlimited access to Claude and Codex AI models without rate limits or token caps.
- Unlimited Claude and Codex access
- 2-in-1 API key
- Real-time analytics dashboard
In their own words
Code all day.
“I hit my 5-hour limit after a few messages.” Sound familiar? OpenLimits gives you unlimited Claude + unlimited Codex — Opus, Sonnet, Haiku, GPT-5, GPT-5.4, Codex, and more — 2-in-1 for $200/month — no cooldowns, no caps. Cheaper than either alone. Just code.
OpenLimits gives you unlimited Claude + unlimited Codex — Opus, Sonnet, Haiku, GPT-5, GPT-5.4, Codex, and more — 2-in-1 for $200/month — no cooldowns, no caps. Cheaper than either alone. Just code.
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • Bundling two major AI models creates a specific product case.
Operator context
Team
Indie / lean
Founded
Feb 2026
HQ
Germany
Platform
API
Audience
Developers
Payments
Stripe
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Solo Buildable
About OpenLimits Expand
OpenLimits offers developers a direct option to the common frustrations of AI model rate limits and token caps. It provides unlimited access to both Anthropic's Claude and OpenAI's Codex models, consolidating access under a single API key.
This service targets power users and teams who require consistent, high-volume AI interaction without the unpredictable costs or interruptions of per-token billing. By packaging unlimited usage for a flat monthly fee, OpenLimits serves as a cost-effective alternative for continuous AI-powered development and experimentation, allowing coders to focus on building rather than managing API quotas.