Claude Code pricing comes in two shapes. A Claude plan includes Claude Code from $17 a month and caps how much you use. An API key has no plan price and bills every token. The plans below are Anthropic's; the last two rows are the per-token options.

Plan prices from claude.com/pricing and Anthropic's Max plan article, read 2026-10-18, before tax. Per-token rates from the live catalog. Every paid plan includes Claude Code; the Free plan does not.

A plan's usage resets on a rolling five-hour window, with a weekly limit on top, and Claude Code shares that pool with Claude chat. Anthropic does not publish the allowance in tokens ("there's no fixed message count", its pricing FAQ). So the useful comparison is your month's token bill against the plan price, which the next tables work out.

What a plan’s price buys per token

The same monthly money spent per token, counted in Claude Code turns of 80,000 cached, 2,000 new input and 1,500 output tokens. That is one turn late in a working session, explained under the three prices below.

$20 is Pro billed monthly, $100 Max 5x, $200 Max 20x. List is Anthropic's per-token price; here is ours, from the live catalog. Every turn hits the cache.

On Sonnet 5.5, Pro's $20 buys 740 turns at Anthropic's list price and 1,550 here. At 150 turns a working day that is 10.3 days of steady use on a key here, with nothing resetting on a five-hour clock.

Claude Code cost per token: the three prices

A Claude Code bill on an API key comes from three rates: input, cached input and output, each per million tokens. Claude Code sends the whole conversation again on every request, so most of the tokens in a session are the same tokens, read back from cache. The cached rate decides most of the bill.

USD per million tokens. Ours from the live catalog; list is the price on the developer's pricing page, the read date on each model page.

Claude Opus 5.5 is $2.10 in and $6.00 out here, against $4.00 and $20.00 at Anthropic: 47% under list on input and 70% on output. The other rows read the same way. Every Claude model on the key gets the same test prompt once a day, with the token counts public on the real-model check.

One turn, worked

Take one turn late in a session: 80,000 tokens read from cache, 2,000 new input tokens and 1,500 output tokens. Cache writes are left out.

80,000 cached + 2,000 input + 1,500 output tokens, each at its rate per million.

The arithmetic for Sonnet 5.5 at list: 80,000 × $0.10 + 2,000 × $2.00 + 1,500 × $10.00, all per million, is $0.027. The same turn here is $0.0129.

The same turn after the cache expires

On an API key the prompt cache lasts five minutes by default; on a subscription it lasts an hour (Anthropic's Claude Code cost docs, read 2026-10-18). Step away for longer and the next request pays the input rate for the whole context: 82,000 input tokens plus 1,500 output.

82,000 input + 1,500 output tokens, nothing from cache.

That one turn costs about five times the cached one. A long break in the middle of a session costs one of these; a session that keeps moving pays the cached rate.

Claude Code cost per day

Three sizes of day, each made of the turn above with every turn hitting the cache. The sizes are assumptions, not measurements; change the turn count and the table scales with it.

Each turn is 80,000 cached + 2,000 input + 1,500 output tokens. Cache writes and cold turns after a break are not included.

For scale, Anthropic's own figure across its enterprise deployments is about $13 per developer per active day at list price, and under $30 a day for 90% of users (the same docs, read 2026-10-18). That is context, not a forecast for your sessions.

Claude Code cost per month

The same three days over 20 working days. This is the number to hold against a plan price.

20 working days of the day table above, every turn cached.

A steady month on Opus 5.5 is $162.00 at list and $68.40 here. Anthropic's own average is $150-250 per developer per month at list (the cost docs). On Sonnet 5.5 the same month is $81.00 at list and $38.70 here.

Plan or API key: which costs less

A plan costs the same whatever you use. It is the cheaper route when your month on a key would cost more than the plan and the five-hour window rarely stops you.

A key costs what you use. It is the cheaper route when your month comes in under the plan price, and when you code in bursts: a quiet week costs nothing, and a long day never waits for a reset. Each key can carry its own monthly spend limit, so one developer or one CI job has a ceiling of its own.

Two details from Anthropic's Help Center (Claude Code with Pro or Max, read 2026-10-18): the monthly API credit that comes with Max can't be spent in Claude Code, and an ANTHROPIC_API_KEY variable in your shell makes Claude Code bill that key instead of your plan.

What /usage shows

On an API key, Claude Code computes the session cost on your machine from its token counts at Anthropic's list price (the cost docs). It is an estimate at list, whatever host you point it at. On a plan, /usage shows plan usage bars instead. The real bill for a key here is in the console, which records what each request was charged.

Thinking tokens

Thinking tokens bill as output and cannot be switched off on Opus 5.5, Sonnet 5.5, Haiku 5.5 or the Fable models (the cost docs). A lower effort level produces fewer of them.

Switching Claude Code to an API key

Two variables. The Claude Code guide has the settings.json form and the model variables, and how to get a Claude API key covers Anthropic's own key.

shell

export ANTHROPIC_BASE_URL="https://api.uplinkswitch.com/v1"
export ANTHROPIC_AUTH_TOKEN="sk-uplink-live-..."
claude

Prompt caching works through the gateway; cached input bills at the cached rate in the price table. To go back to your plan, unset both variables and run /login with your Claude account.

Lowering the bill

• /clear between tasks, so the next request does not carry the last task's context.

• The right model per task. Haiku 5.5 for subagents and small edits.

• A shorter CLAUDE.md. It is in every request.

• A lower effort level where the task allows it.

• Keep sessions moving. A turn after the five-minute cache expiry pays the input rate for the whole context.

• A monthly spend limit on the key, so a runaway loop stops at a number you chose.

Questions

How much does Claude Code cost? $17 to $200 a month on a personal plan, $20 to $125 a seat on Team, or per token on an API key. On a key, a steady month of 150 turns a working day is $81.00 on Sonnet 5.5 at list and $38.70 here.

Is the $20 Claude Code plan worth it? It is when your month on a key would cost more than $20 and the Pro limits rarely stop you. $20 buys 740 Sonnet 5.5 turns at list, or 1,550 here. Count your turns for a week and multiply.

Is Claude Code free? No. The Free plan does not include Claude Code. It needs a paid plan or an API key with credit on it.

Is it cheaper to use Claude Code with the API or a subscription? Cheaper on a key when your month in the table above comes in under the plan price; cheaper on the plan when it comes in over and you stay inside the limits.

Can I spend my Max plan's API credits in Claude Code? No. Anthropic's Help Center says the monthly API credits on Max and Team can't be used in Claude Code or the Claude apps.

Why is Claude Code expensive? Every request carries the whole conversation. At 80,000 tokens of context, even the cached rate adds up over hundreds of turns, and any turn after a break pays the input rate for all of it.

Where do I check my own numbers? Export your Anthropic usage and re-price it on the savings page. Every Claude model's price is on the Claude pricing hub, and one request at a time is worked in Claude API cost per request.

Related

• Claude API cost per request

• How to get a Claude API key

• Cursor with your own API key: cost

• Coding plans vs pay-per-token API

• Claude Code setup

• Roo Code setup

• Kilo Code setup

• OpenCode setup

• OpenClaw setup

• LLM API pricing comparison, October 2026

One key for 86 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-18; the original page re-reads them on every load.

Google bills Gemini API calls per token, at three rates per million tokens: input, cached input and output. Output costs several times input on every Gemini model, and cached input costs a tenth of input or less. A request costs its tokens times the rates of the model it named; there is no seat or plan price.

Gemini per-token rates

11 Gemini models. Each row shows our price and Google's list price.

USD per million tokens. Ours from the live catalog; list is the price on Google's pricing page, the read date on each model page.

The lowest price here is Gemini 3.1 Flash Lite Preview: $0.15 in and $0.90 out.

Gemini API cost per request, worked

A chat turn of 2,000 input and 500 output tokens, and a long-document request of 50,000 input and 2,000 output. Both sizes are assumptions; nothing is counted at the cached rate.

Input tokens times the input rate plus output tokens times the output rate, per million.

Gemini 4 Argon: $0.60 in and $3.00 out here, against $2.00 and $10.00 at list, 70% under on input and 70% on output.

Gemini 3.1 Pro Preview: $1.20 in and $7.20 out here, against $2.00 and $12.00 at list, 40% under on input and 40% on output.

Gemini 3.8 Flash: $0.45 in and $2.25 out here, against $0.75 and $3.75 at list, 40% under on input and 40% on output.

Gemini API cost per month, worked

Two monthly workloads on the same models: 1,000 chat turns a day and 100 long documents a day, each for 30 days. Every request is the size above, so a month of chat is 60 million input and 15 million output tokens, and a month of documents is 150 million input and 6 million output. The volumes are assumptions; nothing is counted at the cached rate.

USD for 30 days: the per-request cost above times 30,000 chat turns or 3,000 documents.

Gemini 4 Argon: $189.00 a month here for both workloads, against $630.00 at list, $441.00 less.

Gemini 3.1 Pro Preview: $403.20 a month here for both workloads, against $672.00 at list, $268.80 less.

Gemini 3.8 Flash: $141.75 a month here for both workloads, against $236.25 at list, $94.50 less.

Cost scales with volume, so 10,000 chat turns a day is ten times the chat column.

What cached input does to the cost

When a request repeats a prefix the API has seen, such as a long system prompt or a document, the response reports those tokens as cached and they bill at the cached rate in the first table. A model with no cached rate bills them at its input rate.

Calling it

Point the SDK at our base URL with your key. Every Gemini id in the table works with the same two values.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uplinkswitch.com/v1",
    api_key="sk-uplink-live-...",
)

completion = client.chat.completions.create(
    model="gemini-4-argon",
    messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)

More in the SDK guide.

Questions

Is there a subscription? No. Credit is prepaid from $10, and each top-up locks your prices for 30 days.

Which Gemini model should I use? The cheapest one that does the task. Flash Lite for short high-volume work, Flash for most chat and coding, Pro or Gemini 4 Argon where the harder answer is worth the price. Run the same prompt on each and compare.

Where is the full price list? On the Gemini API pricing page, and every other model on the Models page. To see what your own usage would cost, re-price an export on the savings page.

Related

• LLM API pricing comparison, October 2026

• Claude API cost per request

• GPT API cost per request

• Claude Opus 5.5 vs Gemini 3.1 Pro Preview

• Claude Sonnet 5.5 vs Gemini 3.8 Flash

• GPT-6.1 Sol vs Gemini 3.1 Pro Preview

• Model comparisons

One key for 81 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-18; the original page re-reads them on every load.

DeepSeek bills API calls per token, at three rates per million tokens: input, cached input and output. The Flash models cost cents per million tokens and Pro costs under a dollar in, so the model you pick moves the bill more than anything else. A request costs its tokens times the rates of the model it named; there is no seat or plan price.

DeepSeek per-token rates

7 DeepSeek models. Each row shows our price and DeepSeek's list price.

USD per million tokens. Ours from the live catalog; list is DeepSeek's peak rate from its pricing page, the read date on each model page.

The lowest price here is DeepSeek V4 Flash 0423: $0.0279 in and $0.0558 out.

DeepSeek API cost per request, worked

A chat turn of 2,000 input and 500 output tokens, and a long-document request of 50,000 input and 2,000 output. Both sizes are assumptions; nothing is counted at the cached rate.

Input tokens times the input rate plus output tokens times the output rate, per million.

DeepSeek V4 Pro 0423: $0.792 in and $1.92 out here, against $1.32 and $3.96 at list, 40% under on input and 51% on output.

DeepSeek V4.1 Flash: $0.06 in and $0.18 out here, against $0.30 and $1.20 at list, 80% under on input and 85% on output.

DeepSeek V4 Flash 0423: $0.0279 in and $0.0558 out here, against $0.30 and $1.20 at list, 90% under on input and 95% on output.

DeepSeek API cost per month, worked

Two monthly workloads on the same models: 1,000 chat turns a day and 100 long documents a day, each for 30 days. Every request is the size above, so a month of chat is 60 million input and 15 million output tokens, and a month of documents is 150 million input and 6 million output. The volumes are assumptions; nothing is counted at the cached rate.

USD for 30 days: the per-request cost above times 30,000 chat turns or 3,000 documents.

DeepSeek V4 Pro 0423: $206.64 a month here for both workloads, against $360.36 at list, $153.72 less.

DeepSeek V4.1 Flash: $16.38 a month here for both workloads, against $88.20 at list, $71.82 less.

DeepSeek V4 Flash 0423: $7.03 a month here for both workloads, against $88.20 at list, $81.17 less.

Cost scales with volume, so 10,000 chat turns a day is ten times the chat column.

What cached input does to the cost

When a request repeats a prefix the API has seen, such as a long system prompt or a document, the response reports those tokens as cached and they bill at the cached rate in the first table. A model with no cached rate bills them at its input rate.

Calling it

Point the SDK at our base URL with your key. Every DeepSeek id in the table works with the same two values.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uplinkswitch.com/v1",
    api_key="sk-uplink-live-...",
)

completion = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)

More in the SDK guide.

Questions

Is there a subscription? No. Credit is prepaid from $10, and each top-up locks your prices for 30 days.

Which DeepSeek model should I use? Flash for chat, summaries and agent subtasks, where the price per million is low enough to stop counting. Pro for code and reasoning where Flash gets it wrong. Run the same prompt on both and compare.

Where is the full price list? On the DeepSeek API pricing page, and every other model on the Models page. To see what your own usage would cost, re-price an export on the savings page.

Related

• LLM API pricing comparison, October 2026
• Kimi API cost per request
• Qwen API cost per request
• GLM API cost per request
• DeepSeek V4 Pro 0813 vs GPT-6.1 Sol
• Qwen3.7 Max vs DeepSeek V4 Pro 0813
• GLM 5.3 vs DeepSeek V4 Pro 0813
• Model comparisons

One key for 81 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-19; the original page re-reads them on every load.

OpenAI bills API calls per token, at three rates per million tokens: input, cached input and output. Output costs more than input on every GPT model. GPT-4o and GPT-4o mini have no cached rate here, so repeated tokens bill at their input rate. A request costs its tokens times the rates of the model it named; there is no seat or plan price.

GPT per-token rates

13 GPT models. Each row shows our price and OpenAI's list price.

USD per million tokens. Ours from the live catalog; list is the price on OpenAI's pricing page, the read date on each model page.

The lowest price here is GPT-6 Luna: $0.0625 in and $0.15 out.

GPT API cost per request, worked

A chat turn of 2,000 input and 500 output tokens, and a long-document request of 50,000 input and 2,000 output. Both sizes are assumptions; nothing is counted at the cached rate.

Input tokens times the input rate plus output tokens times the output rate, per million.

GPT-6 Astra: $3.00 in and $15.00 out here, against $10.00 and $50.00 at list, 70% under on input and 70% on output.

GPT-6.1 Sol: $0.60 in and $3.00 out here, against $2.00 and $10.00 at list, 70% under on input and 70% on output.

GPT-6 Luna: $0.0625 in and $0.15 out here, against $0.10 and $0.50 at list, 37% under on input and 70% on output.

GPT API cost per month, worked

Two monthly workloads on the same models: 1,000 chat turns a day and 100 long documents a day, each for 30 days. Every request is the size above, so a month of chat is 60 million input and 15 million output tokens, and a month of documents is 150 million input and 6 million output. The volumes are assumptions; nothing is counted at the cached rate.

USD for 30 days: the per-request cost above times 30,000 chat turns or 3,000 documents.

GPT-6 Astra: $945.00 a month here for both workloads, against $3,150.00 at list, $2,205.00 less.

GPT-6.1 Sol: $189.00 a month here for both workloads, against $630.00 at list, $441.00 less.

GPT-6 Luna: $16.28 a month here for both workloads, against $31.50 at list, $15.22 less.

Cost scales with volume, so 10,000 chat turns a day is ten times the chat column.

What cached input does to the cost

When a request repeats a prefix the API has seen, such as a long system prompt or a document, the response reports those tokens as cached and they bill at the cached rate in the first table. A model with no cached rate bills them at its input rate.

Calling it

Point the SDK at our base URL with your key. Every GPT id in the table works with the same two values.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uplinkswitch.com/v1",
    api_key="sk-uplink-live-...",
)

completion = client.chat.completions.create(
    model="gpt-6-astra",
    messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)

More in the SDK guide.

Questions

Is there a subscription? No. Credit is prepaid from $10, and each top-up locks your prices for 30 days.

Which GPT model should I use? The cheapest one that does the task. Luna for classification, extraction and other short high-volume work, Sol for most coding and writing, Astra where the harder answer is worth the price. Run the same prompt on each and compare.

Where is the full price list? On the GPT API pricing page, and every other model on the Models page. To see what your own usage would cost, re-price an export on the savings page.

Related

• LLM API pricing comparison, October 2026

• Claude API cost per request

• Gemini API cost per request

• Claude Opus 5.5 vs GPT-6.1 Sol

• Claude Sonnet 5.5 vs GPT-6.1 Sol

• GPT-6.1 Sol vs Gemini 3.1 Pro Preview

• Model comparisons

One key for 81 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-19; the original page re-reads them on every load.

Claude API calls are billed per token, at three rates per million tokens: input, cached input and output. Output costs several times input on every Claude model, and cached input costs a fraction of it. There is no seat or plan price; a request costs its tokens times the rates of the model it named.

Claude per-token rates

12 Claude models, newest first. Each row shows our price and Anthropic's list price.

USD per million tokens. Ours from the live catalog; list is the price on Anthropic's pricing page, the read date on each model page.

The lowest price is Claude Haiku 5.5: $0.06 in and $0.15 out.

Claude API cost per request, worked

A chat turn of 2,000 input and 500 output tokens, and a long-document request of 50,000 input and 2,000 output. Both sizes are assumptions; nothing is counted at the cached rate.

Input tokens times the input rate plus output tokens times the output rate, per million.

Claude Opus 5.5: $2.10 in and $6.00 out here, against $4.00 and $20.00 at list, 47% under on input and 70% on output.

Claude Sonnet 5.5: $1.20 in and $3.00 out here, against $2.00 and $10.00 at list, 40% under on input and 70% on output.

Claude Haiku 5.5: $0.06 in and $0.15 out here, against $0.10 and $0.50 at list, 40% under on input and 70% on output.

Claude API cost per month, worked

Two monthly workloads on the same models: 1,000 chat turns a day and 100 long documents a day, each for 30 days. Every request is the size above, so a month of chat is 60 million input and 15 million output tokens, and a month of documents is 150 million input and 6 million output. The volumes are assumptions; nothing is counted at the cached rate.

USD for 30 days: the per-request cost above times 30,000 chat turns or 3,000 documents.

Claude Opus 5.5: $567.00 a month here for both workloads, against $1,260.00 at list, $693.00 less.

Claude Sonnet 5.5: $315.00 a month here for both workloads, against $630.00 at list, $315.00 less.

Claude Haiku 5.5: $15.75 a month here for both workloads, against $31.50 at list, $15.75 less.

Cost scales with volume, so 10,000 chat turns a day is ten times the chat column.

What cached input does to the cost

When a request repeats a prefix the API has seen, such as a long system prompt or a document, the response reports those tokens as cached and they bill at the cached rate in the first table. A model with no cached rate bills them at its input rate.

Calling it

The Anthropic SDK takes a base URL and a key. Every Claude id in the table works with the same two values; the OpenAI SDKs work too.

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.uplinkswitch.com/v1",
    api_key="sk-uplink-live-...",
)

message = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(message.content[0].text)

More in the SDK guide and the Claude Code guide.

Questions

Is there a subscription? No. Credit is prepaid from $10, and each top-up locks your prices for 30 days.

Which Claude model should I use? The cheapest one that does the task. Haiku for short, high-volume work and subagents, Sonnet for most coding and writing, Opus where the harder answer is worth the price. Run the same prompt on each and compare.

Where is the full price list? On the Claude API pricing page, and every other model on the Models page. To see what your own usage would cost, re-price an export on the savings page.

Related

• LLM API pricing comparison, October 2026

• GPT API cost per request

• Gemini API cost per request

• Claude Opus 5.5 vs GPT-6.1 Sol

• Claude Opus 5.5 vs Gemini 3.1 Pro Preview

• Claude Sonnet 5.5 vs GPT-6.1 Sol

• Model comparisons

One key for 81 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-19; the original page re-reads them on every load.

66 chat models from 11 developers have a developer list price on record. 66 of them are priced here under that list price on both input and output, up to 95% under on the widest gap. The lowest-priced model from each developer is below, then every model grouped by developer.

Lowest by output price, then input. A model that did not answer the last real-model check (/proof) is skipped.

Anthropic: 12 models

DeepSeek: 6 models

Google: 11 models

MiniMax: 2 models

Moonshot AI: 4 models

OpenAI: 13 models

Qwen: 3 models

Tencent: 2 models

xAI: 5 models

Xiaomi: 4 models

Z.ai: 4 models

Method

The rows are the price index, built on every request from GET https://api.uplinkswitch.com/v1/catalog. A list price is the developer's own published rate per million tokens, read from its pricing page; the date it was read is on each model page. The percent under list is rounded down to a whole number, and 0% means at or above list on that class.

Left out: models with no list price on record (the Models page lists them with our price alone), and third-party modified builds. Dated snapshots and effort variants fold into their base model.

This post keeps its URL and is refreshed monthly with the month in the title. The numbers above are whatever the catalog says now.

Get the data

The same rows as JSON and CSV, cached for five minutes, each with an x-uplink-generated header carrying the build time. Cite the index, not this post.

Pricing by family, each with the developer's list price next to ours: Claude, GPT, Gemini, Grok, DeepSeek, Kimi, GLM, Qwen.

One key for 83 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-17; the original page re-reads them on every load.

Kimi, Z.ai and Alibaba sell monthly coding plans. Each caps usage per 5-hour window instead of charging per token. DeepSeek sells no plan.

Monthly prices billed monthly, from each developer’s own page, read 2026-10-17. Kimi’s annual billing is lower.

Does DeepSeek have a code plan?

No. DeepSeek's own pricing page lists only pay-per-token API rates, charged against a topped-up balance. Sites selling a "DeepSeek Code Plan" are resellers. Our DeepSeek prices, with DeepSeek's list price next to each, are on the DeepSeek API pricing post.

What a plan’s price buys per token

The same monthly money spent per token here, with no 5-hour window. The mix is an assumption: 10 input tokens for every output token, which is typical of a coding agent re-sending files. Nothing is counted at the cached rate, so cached repeats stretch it further.

Input and output in USD per million tokens, from the live catalog. "Buys" is millions of tokens at 10:1 input to output.

Plan or per token

A plan fits if you code in one tool every day and run into its window rarely. You pay the same whether you use it or not.

Per token fits uneven use, and work across more than one developer's models. One key reaches Kimi, GLM, Qwen, DeepSeek, Claude, GPT and Gemini, in Cursor, Cline, OpenCode or your own code. There is no window to wait out, and nothing is charged in a month you don't use it.

Questions

Does Kimi K3 work in Cursor or Cline here? Yes. Both take an OpenAI-compatible base URL; the Cursor guide and the Cline guide have the settings. Use kimi-k3 as the model id.

Is there a subscription here? No. Credit is prepaid from $10, and each top-up locks your prices for 30 days.

Where are the full price lists? On the Kimi, GLM, Qwen and DeepSeek pricing pages.

One key for 83 chat models and 87 image, video and speech models, through the OpenAI, Anthropic and Gemini SDKs: uplinkswitch.ai. Prepaid from $10, no subscription, and each top-up locks your prices for 30 days.

Originally published at uplinkswitch.ai. Prices are from our live catalog on 2026-10-17; the original page re-reads them on every load.