Unlimited-Token AI Access.
Real API Keys, Fast.

Kimi K3 is the one we'd point most people toward for deep reasoning and knowledge-heavy work — research, long documents, multi-step planning. Its 2.8T-parameter sparse MoE design and 1M-token context mean it holds onto detail across long sessions without losing the thread. It's also the pricier tier here, which reflects the extra compute behind it.

GLM 5.2 is our default recommendation for day-to-day coding and general-purpose assistant work. IndexShare sparse attention keeps it fast even at long context, and in our own testing it handles refactors and multi-file changes cleanly. If you only want one model and aren't sure which, start here.

DeepSeek V4 comes in two flavours: Flash for quick, low-latency everyday tasks, and Pro for a 1.6T-parameter flagship tuned for advanced reasoning and complex coding. Flash is the cheapest entry point on this page and a sensible way to try unlimited-token access for the first time.

If you genuinely can't decide, that's what free test keys are for — ask us on WhatsApp for a short trial on two models and compare them on your own project rather than a benchmark chart.

Per-token pricing charges you for every word the model reads and writes. That's fine for a short chatbot reply. It adds up fast the moment your workflow involves long context — pasting whole files into an agentic coding tool, keeping a long conversation history, or letting an agent re-read a codebase on every step.

Long context and iteration are exactly where costs spiral, because you're paying input-token price on the same context again and again as a conversation grows. A single afternoon of back-and-forth debugging with a large file open can rack up more tokens than a whole week of short chatbot queries.

A flat weekly or monthly plan flips that: once you're subscribed, the only thing that limits you is a fair-use call count (200 calls/hour on our standard plans), not a token meter counting down. For anyone doing serious coding work with AI — long sessions, big files, iterative back-and-forth — that changes the economics completely.

The trade-off is the call limit itself, so it's worth checking your own usage pattern. If you make a handful of huge requests rather than hundreds of small ones, you'll likely never come close to 200 calls/hour anyway.

Most editors and coding agents that support "custom OpenAI-compatible providers" only need three things from you: a base URL, an API key, and the exact model name. On our setup, that's https://api.we64.com/v1 as the base URL, the key we send after activation, and the full model name from your plan.

In VS Code, Cline and the OpenAI-compatible provider option in GitHub Copilot Chat both support this directly through their settings panel. Cursor needs a Pro-level account before it accepts a custom base URL — check that first if you're on a free plan. Claude Code CLI takes it a step further and reads the values straight from settings.json, so once it's set, every session picks it up automatically.

The full step-by-step for each tool — VS Code, Cursor, Claude Code CLI, IntelliJ, Open Code, N8N, Dify, Python, Node.js and cURL — is in the How to Connect section above, with copy-pasteable config for each.

Every model listed here — GLM, Kimi, DeepSeek and the rest — runs on infrastructure hosted in China, sourced from partners who serve these open-weight models at scale. That's a major part of how unlimited-token pricing is possible at all: it isn't the official API from the model makers, it's access routed through that hosting layer.

In practice, that means your requests and responses pass through servers there, and we don't control or audit that infrastructure ourselves. For everyday development — coding help, drafting, general chat, prototyping — this rarely matters and users in India, South Korea, Spain and elsewhere have run real projects on it without issue.

Where it does matter is confidential, regulated or sensitive data — client records, health information, trade secrets, government or legal work. For that category, we're upfront that an official provider with data-residency guarantees in your own region is the safer choice, even if it costs more.

If you're unsure which side of that line your project falls on, ask before you subscribe — we'd rather turn away a bad fit than have someone find out the hard way.