Broker Once, Route Anywhere
One broker layer across providers instead of fragmented accounts, bespoke credentials, and brittle direct integrations.
CodexRouter is the broker layer for model access, cost visibility, routing intelligence, and optimization. Compare providers, understand cache economics, and present a cleaner alternative to crypto-gated AI access stacks.
This is not just a website. It is the public layer of a brokered AI platform built for lower spend, cleaner routing, and honest pricing visibility.
One broker layer across providers instead of fragmented accounts, bespoke credentials, and brittle direct integrations.
Real provider prices, cache semantics, and pricing-mode notes stay visible instead of being wrapped in vague subscription language.
CodexRouter is built around routing quality, cost control, and operational leverage, without the crypto-payment risk you want to avoid.
CodexRouter is shaped by real work across multi-provider routing, private AI labs, agentic automation, cost governance, prompt caching, and production-grade model operations.
Hakim GHelab builds AI systems with an operator mindset: route the right model, reduce waste, expose the real price, and keep the stack under control. That is the DNA of CodexRouter, a brokered API layer for teams that want performance, transparency, and optimization instead of opaque AI access.
The product direction comes from hands-on work with agentic tooling, model orchestration, prompt caching, vLLM and Ollama backends, OpenClaw and OpenHands workflows, identity-aware infrastructure, and private AI lab operations. This is why the site presents pricing like a systems product, not like a shallow directory.
Input price on one axis, output price on the other, with bubble size reflecting cache leverage. Cheap lives low-left. Premium climbs up. This is the broker view of the market, not a vendor sales page.
Official-source links, provider positioning, and model coverage in one public-facing broker intelligence wall.
Filter by provider, switch display units, and search aliases or upstream model names.
| Model | Provider | Input | Output | Cache Read | Cache Write | Mode |
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Test realistic request sizes against the exact pricing manifest used by CodexRouter’s routing and cost-estimation layer.
This site stays aligned to the lab by design. One manifest. One safe apply path. One honest reporting model.
The pricing manifest is the one reviewed source of truth for both the public website and OpenClaw cost estimation.
Pricing updates are validated, backed up, diffed, and written atomically before they touch the live lab config.
Cache storage-hour fees, multi-tier cache policies, and tool-call costs stay documented as notes instead of being buried in fake certainty.
Clear answers for human readers, search engines, and LLM-based search systems.
CodexRouter is a brokered AI API layer for transparent model access, cost control, routing logic, and optimization across multiple model providers.
It is built around routing quality, pricing visibility, cache-aware optimization, and operational observability rather than simple pass through behavior.
Because hidden pricing, opaque cache semantics, and unclear model behavior destroy trust and make optimization impossible.
Developers, AI operators, product teams, and agent builders who want lower cost, better model selection, and cleaner infrastructure control.