Search "unlimited tokens api" and you'll land on a handful of niche product pages, each claiming some version of "unlimited" — and each meaning something slightly different by it. One caps the number of requests per month while leaving individual requests uncapped. Another gives you real unlimited volume, but only for a narrow set of open-source models. A third sells "unlimited" in blocks of hours or days rather than as an ongoing plan. None of that makes any of them dishonest, exactly — it just means "unlimited tokens" is doing a lot of work in a sentence, and the fine print is where the real comparison happens.
This post looks at how "unlimited tokens" is actually implemented across the products currently ranking for that phrase, why the differences matter specifically for coding agents like Cursor and Claude Code, and how APIClaw's version of unlimited tokens works.
"Unlimited tokens" is not one thing
Looking at the products currently competing for this keyword, "unlimited" tends to mean one of three different things:
Unlimited tokens per request, capped requests per month. UNLI (unli.dev) is the clearest example: every tier, including the free Hobby plan, advertises unlimited tokens, but the actual ceiling is a monthly request count — 100 requests/month on the free tier up through 200,000 requests/month on its $125/mo Ultra plan. A single request can be as long as you want; the limiting factor is how many requests you send in a month, not how big each one is.
Unlimited tokens up to a threshold, then throttled. Canopy Wave's Unlimited Token Plan sells real unlimited token volume — its $15.99 to $159.99/mo tiers are named after the monthly token count included at full speed (50M, 200M, 500M), after which requests continue but at reduced priority. It's genuinely unlimited in that you're never cut off, but "unlimited" and "unthrottled" aren't the same guarantee.
Unlimited tokens, restricted models. Both Canopy Wave and Awan LLM offer flat monthly pricing with no per-token metering, but neither gives you Claude or GPT access — Canopy Wave's unlimited plan runs on Kimi K2.6 and MiniMax M3, and Awan LLM's catalog is open-source models like Llama. If your coding agent is configured for Claude specifically, an "unlimited tokens" plan that doesn't include Claude isn't really a candidate, no matter how generous its token allowance is.
There's a fourth shape worth naming separately: time-boxed unlimited access, sold as a fixed-price block of hours or days (a 24-hour pass, a 7-day pass) rather than a recurring monthly plan. That model can work out cheaper for a short, intense burst of usage, but it's a different commitment than a plan you leave running.
Why the distinction matters for Cursor and Claude Code specifically
A coding agent's usage pattern makes these differences concrete rather than theoretical:
- Request-capped plans get squeezed by agentic loops. Claude Code and Cursor often fire several requests per user action — plan, edit, self-review, re-edit — so a plan that's generous on token size per request but stingy on request count per month can still run out well before the token allowance would ever matter.
- Throttle-after-threshold plans introduce a mid-session slowdown. If your agent is mid-refactor when a high-speed token allocation runs out for the billing period, the fallback to reduced-priority processing shows up as latency in your editor, not as a clean error you can plan around.
- Model restriction rules out the plan entirely for Claude Code users. Claude Code talks to Claude by default. An unlimited-tokens plan built around open-source models is a strong option for teams intentionally building on Kimi or Llama, but it doesn't solve "I want unlimited tokens for the Claude models my tooling already expects."
None of this is a knock on any of these products — a Kimi-based unlimited plan at a fraction of Claude's cost is a legitimate choice if your workload tolerates a different model family. It just means "unlimited tokens" alone isn't enough information to know whether a plan fits a Cursor or Claude Code workflow.
Comparing the current "unlimited tokens" landscape
| Platform | Monthly price | What's actually unlimited | Model access | Coding tool integration |
|---|---|---|---|---|
| UNLI | $0–$125 (+ custom Enterprise) | Tokens per request; requests/month are capped (100–200,000) | Anthropic-compatible; broader catalog not fully documented | Not documented for Cursor/Claude Code |
| Canopy Wave (Unlimited Token Plan) | $15.99–$159.99 | Tokens, up to a monthly high-speed allocation, then throttled | Kimi K2.6, MiniMax M3 only — no Claude | Not documented for Cursor/Claude Code |
| Awan LLM | Flat monthly (tiers not fully published) | Tokens, billed by month rather than per call | Open-source models (Llama and similar) — no Claude | Not documented |
| APIClaw | $19–$129 | Tokens per request (no per-call cap); daily request allowance (500–8,000/day) resets at 00:00 UTC, no overage charges | Claude, GPT, Gemini, and more via one key | Native Cursor, Claude Code, Kilo Code setup guides |
The honest way to read this table: every row is "unlimited" in a real, defensible sense. The differences are in which resource is actually uncapped (tokens vs. requests), whether performance degrades after a threshold, and whether Claude is on the model list at all.
Where APIClaw fits in that picture
APIClaw's version of "unlimited" is unlimited tokens per individual request — there's no per-call token ceiling, so a long context window or a big file doesn't get truncated or billed differently than a short one. What's capped instead is the number of requests per day, and that ceiling scales with the plan: 500 requests/day on the $19/mo entry tier up to 8,000/day on the $129/mo top tier, resetting every day at 00:00 UTC with no overage charges if you hit it. A 50-request free trial is available with no card required, and every tier includes Claude, GPT, Gemini, and other major providers behind one API key, rather than a single model family.
That structure is deliberately shaped around how coding agents actually consume tokens: a handful of very large, context-heavy requests during a long refactor session cost the same as a day of small ones, because the meter is on requests, not on the tokens inside them.
Setting up an unlimited-tokens endpoint for Cursor or Claude Code
Both tools use the same OpenAI-compatible or Anthropic-compatible request format APIClaw speaks, so pointing them at it is a configuration change:
export ANTHROPIC_BASE_URL="https://apiclaw.biz/v1"
export ANTHROPIC_API_KEY="sk-your-apiclaw-key"Claude Code reads those environment variables directly. Cursor, Kilo Code, and most other agentic tools expose an equivalent custom API base URL field in their model settings. Full walkthroughs:
When a niche unlimited-tokens plan is the better call
If your workload is intentionally built around open-source models rather than Claude or GPT, Canopy Wave's or Awan LLM's unlimited plans are worth a serious look — running Kimi or Llama at genuinely uncapped token volume for $16–$60/mo is hard to beat on pure cost per token if the model quality fits your use case. And if you only need unlimited access for a short, defined window — a hackathon weekend, a single sprint — a time-boxed unlimited pass can be cheaper than committing to a monthly plan you'll cancel a few days in. Neither of those is a worse product; they're just optimized for a different shape of usage than a daily coding agent workflow running Claude or GPT continuously.
The bottom line
"Unlimited tokens" is real across every product in this comparison — the question is which resource is uncapped and whether the models you actually need are included. For Cursor and Claude Code specifically, where usage means Claude or GPT models running continuously through long, context-heavy agent sessions, a flat-rate AI API with unlimited tokens per request and a predictable daily request ceiling tends to fit better than a plan that's unlimited on tokens but capped on requests, throttled after a threshold, or built around a different model family entirely. If you've been evaluating "unlimited tokens" products by that one word alone, the request-vs-token distinction is usually where the real answer to "will this actually work for my setup" lives.