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home/blog/AI coding plans compared (2026): Claude, ChatGPT, Qwen, OpenCode Zen, Subconscious, and Token-Max
2026-10-08·runaii engineering·9 min read

AI coding plans compared (2026): Claude, ChatGPT, Qwen, OpenCode Zen, Subconscious, and Token-Max

What coding subscriptions actually cost when your workload is an agent, not a chat — priced against a real 224M-token day, with the limits, the catches, and where each plan wins.

pricingcoding-planscomparisonagents

tl;dr

Most coding-plan comparisons price the subscription, not the workload. We priced both: a real agent day — 224M tokens, 93% cache reads, hundreds of requests (our founder's own ccusage) — against every plan people actually consider. The pattern: $20 chat-tier plans break in hours, $100–200 power tiers hold until a heavy week hits a wall whose rules you can't see, and token-metered options win on price but make you forecast your own month. runaii's Token-Max sits in the middle deliberately: flat monthly, sized for agent burn (100M–1B tokens/day), daily reset, a meter you can count — and an application gate, because our capacity is physical, not a broker's dashboard. Full disclosure: we run runaii.cloud. Where we lose, we say so.

Token-Max coding plans

A billion tokens a day for your coding agents

Flat monthly plans sized for real agent burn — glm-5.3-flash + qwen3.8 lanes on GPU cells we own and tune. Daily reset, live token meter, OpenAI-compatible. Capacity is limited: apply and see your queue position.

Apply for a plan →Or start pay-as-you-go — $5 free credits

What a coding agent actually burns

Before comparing prices, define the workload — because chat and agents are not the same product.

One heavy developer, measured with ccusage over months of long-horizon agent work: 1.6B tokens all-time, a peak day of 224M tokens, 93% of it cache reads. Hundreds of requests a day against a 300K-token repo, with the agent re-reading context it has already seen on every turn. That is not an extreme workload; it's what agentic coding looks like when you stop babysitting the chat window.

Two things follow from those numbers, and they decide every plan comparison:

  1. Prompt volume is enormous, and mostly cache. A plan that prices cache-hits at full rate is charging you for tokens the provider never recomputed.
  2. A "5-hour window" is a rounding error against a real day. If you burn 224M tokens on a Tuesday, the question is not how fast you refill — it's whether the plan survives Wednesday.

The plans, priced against that workload

Prices as advertised in October 2026; they change — verify before you buy. Every number below is either a published list price or something the vendor states publicly.

Plan Monthly What you get The catch at agent volume
Claude Pro / Max $20 / $100 / $200 Claude models incl. Opus tiers, Claude Code CLI 5-hour windows and weekly caps; heavy users report hitting the week's limit in ~25 hours of agent work
ChatGPT Plus / Pro ~$20 / $200 GPT + Codex Same window/limit structure; coding-agent limits opaque
Cursor Pro / Ultra $20 / $200 IDE with multi-file agents Fast requests metered; heavy agent runs hit request limits
GitHub Copilot Pro $10 Completions + chat in the editor Priced for assistance, not autonomous agent fleets
Qwen coding plan (Alibaba) single-digit entry tiers advertised Qwen models, generous-looking quotas Model family is narrower; the entry tiers are sized for individuals
OpenCode Zen pay-per-token Provider-agnostic gateway, free tiers Token metering puts the forecasting burden on you
Subconscious $100 ~60M tokens/day (~1.8B/mo), waitlist Waitlist-gated; token ceiling is roughly a quarter of a heavy agent month
runaii Token-Max $49 / $199 / $499 100M / 300M / 1B tokens per day, glm-5.3-flash + deepseek-v4-flash, 15/50/100 concurrent Application-gated (capacity is physical); no frontier flagship models

The number that decides it: cost per million tokens

Strip the branding and every plan is a price per token under a policy. At roughly 3B tokens a month (a moderate agent month, not our founder's peak):

Plan $/month Effective $/1M tokens
Claude Max (20x) $200 ~$0.067 — if you never hit the cap
Subconscious $100 ~$0.056 — waitlist
Token-Max Solo $49 ~$0.016
Token-Max Max $499 ~$0.017

Two honest caveats. First, the comparison assumes you can actually consume the allowance — a $49 plan you only half-use costs more per token than a $200 plan you max out. Second, we can price like this because we run the cells (RTX PRO 6000 and H100 boxes we operate and tune ourselves); we don't resell capacity with a broker's margin stacked on it. That's also the reason for the application gate: our ceilings are physical.

Where the weekly-cliff plans break

The complaint we hear most is not price. It's this, verbatim from a Hacker News thread on Claude Code weekly limits: "I burned through weekly limit in 25 hours after last reset on Thursday, without changing what I was doing." And from the same thread, on what hitting the limit means: "it's that for the entire week."

That's the structural problem with window-based plans at agent volume: the metering unit (a 5-hour window, a weekly cap) is sized for interactive chat, and an agent burns a week of chat in a day. The other half of the complaint is opacity — "I doubt that's what is really used" is a direct quote from the threads, and there's an entire ecosystem of third-party usage meters and burndown status-lines built by users trying to see their own consumption.

So the questions to ask of any plan are boring and mechanical:

  • What exactly is metered, and can I read it in real time?
  • What happens when I hit the ceiling — a cliff, or a soft degradation?
  • Does the ceiling reset on a human schedule (daily) or an arbitrary one?

Where runaii fits (and where we don't)

Token-Max is built to answer those three questions: tokens metered per request, a live meter in the console, a daily reset, and published ceilings (100M/day at $49, 300M/day at $199, 1B/day at $499 — the last one is a billion tokens, per day, which is more than our founder's peak agent day). Cached reads bill at a fraction of list, and both models a serious agent setup reaches for ship in one plan: glm-5.3-flash for the fleet, deepseek-v4-flash as the cheap second opinion.

Where we lose, stated plainly:

  • No frontier flagship. If your work genuinely needs Opus-class or GPT-5-class reasoning for the hard 5%, keep that subscription. We are the fleet and the verifier, not the oracle.
  • Apply-gated. Capacity is a physical number on cells we own, so plans go out in cohorts — you apply and see your queue position. A vendor with a checkout button can onboard you faster.
  • Model catalog is open models. glm-5.3-flash, deepseek-v4-flash, and the rest of the catalog — not a menu of every closed frontier model.
  • We are young. A new provider asking for a $49–$499/month commitment deserves skepticism; the founding cohort locks its rate for 12 months, which is the best we can offer against that.

How to choose (by who you are)

  • Chat-first, light coding: a $10–$20 tier from anyone is fine. You don't need this page.
  • Interactive Claude Code / Codex user, moderate volume: a $100–$200 power tier works — accept the window policy and keep an eye on the weekly reset.
  • Agent-fleet user (parallel agents, overnight runs): this is where window-based plans break. Metered daily budgets are the only structure that survives — Token-Max Solo or Team, or a token gateway like OpenCode Zen if you prefer to forecast month-by-month yourself.
  • Frontier-reasoning-dependent: keep your Claude Max or ChatGPT Pro, and consider running the volume work on a metered plan alongside it. The hybrid is the honest answer and it's what our own engineers do.

Sources and freshness

Every number here is either a vendor's published list price or a figure the vendor states publicly, checked on 2026-10-08; workload receipts are our own ccusage-style measurement of a real agent month. Prices change often — treat this page as a starting point and verify against the vendor before you buy. Our own per-token rates live at /pricing, which is the canonical, always-current source for anything about runaii (this page deliberately does not restate them).

If a price above has moved since we last checked, the dated entries in the changelog at the end of this page record when we verified it.

Changelog

  • 2026-10-08 — first publication. Every competitor price verified against the vendor's own pricing page on this date; workload receipts (224M-token peak day, 93% cache reads) are our own measurement. Re-verified before each update — the date above changes only when a figure does.

FAQ

Why is Token-Max application-gated instead of self-serve?

Because our capacity is physical. We run our own GPU cells; a seat on a 1B-token/day plan reserves real cell time. Applications let us admit in cohorts as capacity comes online instead of overselling a queue — and the queue position you get back is honest.

What happens when I hit my daily token budget?

The day resets. Budgets are ceilings, not cliffs: nothing blocks mid-run silently, you see the meter, and pay-as-you-go credits at list price are available if you need more before the reset. Compare that to a weekly limit, where one heavy Wednesday can end your week.

Do you charge differently for cached tokens?

Yes — cached prompt reads bill at a fraction of the input rate (on glm-5.3-flash, $0.03 vs $0.15 per 1M), and the split is visible per request in usage.prompt_tokens_details.cached_tokens. On agent workloads, where 90%+ of prompt volume is cache reads, this is the difference between a plan that survives the month and one that doesn't.

Can I keep using Claude Code or Cursor with runaii?

Our endpoint is OpenAI-compatible today, so Cursor, Cline, Aider, Continue, and Zed point at it by changing a base URL. Claude Code speaks the Anthropic-format API, which is in active build — flag it in your application and you're first in line.

Which models do I get?

The open-model catalog: glm-5.3-flash and deepseek-v4-flash ship in every Token-Max plan, with the wider catalog available per-token. If your workflow depends on a closed frontier model for everything, we are not your primary plan.

How do I verify your numbers?

Everything on this page is either a public list price or a receipt we published: the workload numbers come from our own ccusage-style measurement, the pricing is on /pricing, and the usage ledger is verifiable per request (usage.cost on every response).

Glossary

Agent day
a working day of autonomous coding-agent usage: hundreds of requests, long contexts, mostly cache re-reads. Measured here at up to 224M tokens for one developer.
Cache read
a prompt token served from a cached prefix instead of being recomputed. On agent workloads, typically 90%+ of prompt volume.
Weekly cliff
a plan structure where exhausting a weekly allowance locks you out until reset, regardless of remaining days. The single most-complained-about mechanic in 2026 coding plans.
Concurrent requests
how many model calls can be in flight at once. The practical ceiling on parallel agent fleets; Token-Max tiers ship 15 / 50 / 100.
Effective $/1M tokens
plan price divided by tokens actually consumed in a month. The only number that makes plans comparable across flat-rate and metered models.
Token-Max
runaii.cloud's flat monthly coding plans: 100M–1B tokens/day, daily reset, live meter, application-gated because capacity is physical.

Token-Max coding plans

A billion tokens a day for your coding agents

Flat monthly plans sized for real agent burn — glm-5.3-flash + qwen3.8 lanes on GPU cells we own and tune. Daily reset, live token meter, OpenAI-compatible. Capacity is limited: apply and see your queue position.

Apply for a plan →Or start pay-as-you-go — $5 free credits
Keep reading
Your prompts are cached — here is what that saves you2026-09-14Billing at the micro: how runaii.cloud meters every token2026-09-14Serving GLM-5.3-flash at 412 tok/s on RTX PRO 60002026-09-13

On this page

What a coding agent actually burnsThe plans, priced against that workloadThe number that decides it: cost per million tokensWhere the weekly-cliff plans breakWhere runaii fits (and where we don't)How to choose (by who you are)Sources and freshnessChangelog
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