Kimi vs GLM vs Qwen Coding Plans: Is a Monthly Subscription or Pay-Per-Token Better Value?

The Current State of Coding Plans from the Three Major Vendors

In 2026, Kimi, Z.ai (GLM), and Alibaba Cloud's Qwen all launched monthly coding plans aimed at developers. The core logic is limiting usage by a 5-hour window rather than billing by token. DeepSeek^Ad, meanwhile, sticks to pure pay-as-you-go API billing with no subscription option.

According to data read from each vendor's official page (October 17, 2026), Kimi offers four tiers: Plus at $19/month, Pro at $39/month, Max at $99/month, and Ultra at $199/month, all of which include Kimi Code, with the difference being the agent quota multiplier. Z.ai's GLM Coding Plan starts at $18/month: the Lite tier gives 2,000 credits per 5 hours, Pro gives 12,000, and Max gives 28,000, supporting GLM-5.3 and GLM-5.3-Flash. Alibaba Cloud's Coding Plan Pro is priced at $50/month, with 6,000 requests per 5 hours, 45,000 per week, and 90,000 per month.

One detail worth noting: Kimi's annual payment option is cheaper, while DeepSeek's official pricing page lists only pay-per-token API rates. The so-called "DeepSeek Code Plan" sold on the market is all third-party resale.

How Many Tokens Can You Buy for the Same Monthly Fee?

To answer the core question of "subscription or pay-as-you-go," the original article did a conversion: assuming a 10:1 input-to-output ratio (the typical scenario where a coding agent repeatedly sends files) and ignoring cache hits, it converted each plan's monthly fee into the equivalent amount of purchasable tokens.

Model	Input ($/M)	Output ($/M)	What $19 Buys	What $39 Buys	What $50 Buys	What $99 Buys
Kimi K3	$0.90	$4.50	15M	32M	41M	81M
GLM 5.3	$0.3276	$1.0296	49M	100M	128M	253M
Qwen3.7 Plus	$0.192	$0.768	78M	160M	205M	405M
DeepSeek V4 Pro 0813	$0.75	$1.188	24M	49M	63M	125M
DeepSeek V4.1 Flash	$0.06	$0.18	268M	550M	705M	1,396M

This table reveals a fact that's easy to overlook: for the same $50, Qwen3.7 Plus buys about 205M tokens, while Kimi K3 buys only 41M — a gap of nearly 5x. GLM 5.3's unit-price advantage is also obvious: $19 buys 49M. DeepSeek V4.1 Flash is the absolute "price slayer," with $19 buying 268M tokens.

However, this conversion ignores the core value of a subscription — predictable fixed costs and an integrated in-tool experience. With a subscription you don't need to manage prepaid balances, and you don't have to worry about a single large-scale refactor suddenly burning through a huge number of tokens.

What are "input-to-output ratio" and "cache hits"? Large model APIs bill by token, and input tokens (the prompts, code context, and file contents you send to the model) and output tokens (the code and explanations the model generates) have different unit prices — output is usually more expensive. The typical behavior of a coding agent is to repeatedly send entire files or repository snippets as context, so input volume far exceeds output volume, making "a 10:1 input-to-output ratio" a realistic assumption. Cache hits (prompt caching) mean the vendor bills repeated identical prefix content at a discounted rate, which can significantly reduce the actual cost in long-context scenarios. The original conversion deliberately ignores caching and calculates at standard prices in order to get a conservative baseline that can be compared across vendors; real bills tend to be lower, but caching strategies and discount levels differ by vendor and are hard to normalize.

Who Are Monthly Plans For?

The original article's criterion is straightforward: if you write code in the same tool every day and rarely hit the 5-hour window cap, a plan is suitable. You pay a fixed amount whether you use a lot or a little.

But the hidden cost of a plan is wasted idle capacity. If you barely use it for a month, the money is still deducted. For developers with irregular usage, or workflows that need to switch between multiple vendors' models, pay-per-token is more flexible. The original article mentions a key advantage: a single API key gives you access to Kimi, GLM, Qwen, DeepSeek, Claude, GPT, and Gemini in Cursor, Cline, OpenCode, or your own code — no window waiting, and no charge if you don't use it.

Another point worth noting: Kimi K3 can indeed be used in Cursor and Cline, connected via an OpenAI-compatible base URL with the model ID kimi-k3. This shows that "monthly plans" and "third-party tool integration" are not mutually exclusive, but a plan itself is usually tied to the vendor's own coding product (such as Kimi Code), and cross-tool flexibility is still not as good as pure API.

An OpenAI-compatible interface is a de facto industry convention: as long as the server exposes an endpoint with the same structure as the OpenAI Chat Completions API (such as /v1/chat/completions) and accepts the same request fields, any client that supports a custom base URL can connect directly. This is exactly why Kimi K3 can appear in third-party tools like Cursor and Cline with the model ID kimi-k3 — the tools themselves don't need to adapt separately for each vendor. Understanding this helps distinguish two things: model capabilities can be invoked by any tool through a standard interface, while a vendor's coding plan usually only works within its own product (such as Kimi Code). The access boundaries of the two do not overlap.

Why Doesn't DeepSeek Offer Plans?

DeepSeek is the only one of the four vendors without a coding plan, offering only a pay-per-token API deducted from a prepaid balance. The original article is unequivocal about the nature of "DeepSeek Code Plan": anyone selling such a plan is a reseller, not an official product.

This strategic choice is interesting. DeepSeek V4.1 Flash's pricing (input $0.06/M, output $0.18/M) is already so low that the "save money" narrative of monthly plans is hard to sustain — the amount of tokens $19 buys on a pay-as-you-go basis is nearly 18 times the converted value of the Kimi K3 plan. When the unit price is low enough, users' need for fixed plans naturally weakens.

DeepSeek V4 Pro 0813's pricing falls in the middle ground, with rates of $0.75/$1.188 close to Kimi K3, but pay-as-you-go has no window limit, making it suitable for scenarios with highly fluctuating usage.

Credits and the 5-hour window are the common metering design for this type of plan. Vendors don't deduct by token; instead, they convert an agent call into a certain number of credits or request counts and set an upper limit over a rolling 5-hour window, with the quota resetting when the window expires. The purpose of this design is to prevent a small number of heavy users from "maxing out" the fixed monthly fee, while keeping the limit imperceptible to the vast majority of normal users. For users, the cost is weaker explainability of quotas: how many credits a complex refactor consumes often only becomes clear after actual use. Therefore, when evaluating a plan, besides the monthly fee and window quota, you should also pay attention to how overages are handled (rate limiting, degradation, or extra billing), which determines the actual experience when you hit the window.

Recommendations

Overall, the choice depends on three variables: whether usage frequency is stable, whether you're locked into a single tool, and your preference for cost predictability.

For developers who use Kimi Code or the GLM coding assistant heavily every day, the fixed cost of a plan is easier to budget for. For users with irregular usage, who need to switch between multiple models, or who are extremely price-sensitive, pay-per-token billing (especially Qwen3.7 Plus and DeepSeek V4.1 Flash) has the edge on pure economics.

The original article also mentions a detail: its platform offers prepaid credit, with a minimum top-up of $10, each top-up locking in the price for 30 days, and new accounts get $1 in free credit. This kind of "hybrid model" sits between a plan and pure pay-as-you-go, and the price-locking mechanism helps somewhat with budget management.

Ultimately, there is no universally optimal solution. Plans sell certainty and an integrated experience; pay-per-token sells flexibility and price transparency. Plug your own monthly usage and tool habits into the conversion table above, and the answer will be clearer than any recommendation.

One-line Summary

Compares Kimi, GLM, and Qwen coding plans with DeepSeek's pure API billing and provides a basis for choosing.

Paragraph Summary

The article reviews the state of coding plans from the three major vendors in 2026: Kimi, Z.ai (GLM), and Alibaba Cloud's Qwen all use monthly subscriptions limited by a 5-hour window, while DeepSeek sticks to pure pay-per-token billing, and the so-called "DeepSeek Code Plan" on the market is all third-party resale. Using assumptions of a 10:1 input-to-output ratio and no caching, the author converts each plan's monthly fee into an equivalent token amount and finds that for the same $50, Qwen3.7 Plus yields about 205M tokens while Kimi K3 yields only about 41M — a gap of nearly 5x; DeepSeek V4.1 Flash has the lowest unit price, with $19 buying about 268M. The conclusion is that plans sell fixed costs and an integrated tool experience, while pay-as-you-go sells flexibility and price transparency; the choice depends on whether usage frequency is stable, whether you're locked into a single tool, and your preference for cost predictability.