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GPT-6.1 Sol monthly cost on 59API API relay: real numbers

The problem: a month of AI tokens is hard to budget

Ask any developer what ruins a month of AI tooling, and the answer is rarely the model itself. It is the invoice. Token usage shifts with every prompt, every retry and every automated agent run, so a flat subscription hides the real pattern and a raw provider bill arrives too late to adjust. You want a number you can look at before the spend happens, and a way to change models when the economics change.

That is the job 59API was built for. 59API is an independent third-party AI API relay: one account and one API key, one API host at https://api.59api.com, for Claude, GPT, Gemini, DeepSeek and other models. There is no monthly fee. You add prepaid balance, and each request is charged by real token usage. Your balance never expires, so an unused ¥10 top-up is still there next month.

This article works through one concrete case: GPT-6.1 Sol, priced per 1 million tokens on 59API. We will look at the input, output and cache read rates, run a full worked example, compare the result with the official list price, and show exactly how to connect. Every figure below comes from the current 59API rate card, so you can check the arithmetic yourself before you spend anything.

GPT-6.1 Sol rates on 59API, line by line

GPT-6.1 Sol (model id gpt-6.1-sol) is billed on 59API at $0.1847 (¥1.33) per 1 million input tokens, $0.9264 (¥6.67) per 1 million output tokens, and $0.0375 (¥0.27) per 1 million cache read tokens. Billing is in CNY; the USD figures shown here use ¥7.2 = $1.

Read those three lines carefully, because they describe three different kinds of traffic. Input tokens are what you send the model: your prompt, the system message, the context you paste in. Output tokens are what the model writes back. Cache read tokens are a separate meter again, and they are the reason a long-running context does not have to be paid for at the full input price every single time.

The official list price for reference is $2 input and $10 output per 1 million tokens. The 59API rate for the same model is lower on every line, and the difference sits on the standing rate card, billed per request by real token usage.

There is also no monthly fee to forget. You top up, you call, and the balance moves by exactly what the request consumed. For a developer shipping a paid feature, a coding assistant or an internal agent, that structure matters more than a headline discount. You can size the bill from a traffic estimate, watch the balance move, and stop when a model stops making sense.

A worked month: 5M input and 1M output tokens

Here is a hypothetical month for a product team running GPT-6.1 Sol through 59API: 5M input tokens and 1M output tokens, with no cache reads.

At the 59API rates above, that usage costs $1.85 (¥13.32). At the official list price of $20 (about ¥144), the same usage is priced at roughly 9% of that figure on 59API. In other words, for this workload, 59API comes to about 9% of list price.

Now the useful part: that figure is not a subscription you have to buy in advance, and it is not a guess about what you might use. It is the arithmetic of real token consumption on a prepaid balance. If the team sends fewer tokens, the bill is lower. If it sends more, the bill rises with it, and you can watch the balance move as it happens.

That predictability is what makes the number actionable. A developer can size a feature, price it against a margin, and know which knob to turn if the numbers stop working. Compare that with discovering the cost after the fact.

And because 59API also carries DeepSeek, Gemini, Qwen, Kimi and other models behind the same host, a heavy GPT-6.1 Sol month does not have to be the only month you run. If a cheaper model is good enough for a classification step or a summarisation pass, the same key and the same balance can route that traffic elsewhere, with no second account and no second set of credentials to manage.

GPT-6.1 Sol next to GPT-5.6 Sol

GPT-6.1 Sol is not the only GPT model on 59API, and the rate card makes the trade-off easy to read. GPT-5.6 Sol (model id gpt-5.6-sol) is $0.3472 (¥2.5) per 1 million input tokens, $1.94 (¥14) per 1 million output tokens, and $0.0278 (¥0.2) per 1 million cache read tokens. Its official list price reference is $4 / $20, at an OpenAI promotional price, at least through 2026-11-21.

A second worked example keeps this honest. For 2M input tokens and 0.5M output tokens without cache, GPT-5.6 Sol on 59API costs $1.67 (¥12). At official list price, the same workload is $18 (about ¥129.6), so 59API is about 9% of list price again.

Two models, two workloads, the same ratio. The practical question is therefore not which model is cheaper in the abstract, but which model you actually need for the job. GPT-6.1 Sol has the lower input rate and the lower output rate. GPT-5.6 Sol has the lower cache read rate. If your traffic repeats the same context heavily, cache reads matter; if your traffic is mostly fresh prompts and long answers, the input and output lines dominate.

Because both models sit behind the same base URL on 59API, moving between them is a change to the model id, not a rewrite of your integration. That is the practical value of a relay with a single host: the pricing decision stays a pricing decision, and the plumbing stays still.

Connect GPT-6.1 Sol in two settings

Everything above assumes your code can reach the 59API host. For GPT models, that is deliberately simple, because GPT models work with Codex, OpenAI SDKs, cURL and OpenAI-compatible clients such as Cursor, Cherry Studio, Cline and OpenCode.

Point your client at base_url https://api.59api.com/v1 and send chat requests to https://api.59api.com/v1/chat/completions. Use the model id gpt-6.1-sol for the model we have been pricing, and put your 59API key where your client expects an API key. There is one account, one API key and one API host, so the same credentials cover every model you route through it.

Then top up. 59API accepts ¥10, ¥50, ¥100, ¥200, ¥500 and ¥1000, paid by WeChat Pay or bank card, and invoices are available. Start with the smallest top-up that covers your expected traffic, watch a few real requests against the rates above, and adjust from there. Balance never expires, so there is no deadline forcing you to use it.

One note for anyone reading the wider 59API catalogue: Claude models work only through the genuine Claude Code or Claude Desktop client (Claude Code 2.1.285 or newer), and Gemini models use Google's native protocol through Gemini CLI. For a GPT-6.1 Sol integration in an SDK, cURL or an OpenAI-compatible client, the settings above are the whole story.

When a monthly card makes more sense

Pay-as-you-go on prepaid balance covers most developers. Some teams, though, want a known monthly ceiling rather than a meter they have to watch. 59API's cards are optional for that reason, and they are separate from the balance.

Take the G-PRO entry tier (GPT, 30 days): $83.19 (¥599), with quota $2300 and a weekly cap $880. Its reference value at official list prices is about $638.89 (¥4600). The weekly card is smaller and sharper: 【周卡】G-PRO $1100 (GPT, 7 days) is $40.56 (¥292), with quota $1100 and a weekly cap $1100, and a reference value at official list prices of about $305.56 (¥2200). Card quota drains at the card's metering price × 2.4.

Two rules keep the accounting clean. A card has its own key and can only call that family's models, and it is paid only from the card: it never falls back to wallet balance, and a balance key never draws on a card. Unused quota does not roll over. Card quota and caps are card metering units written in $, not official list-price dollars, so they should not be converted into official prices.

So the decision is simple. If your usage varies week to week and you want unused money to stay available, stay on prepaid balance. If you want a fixed 30-day allowance for GPT traffic, look at a G-PRO card. Either way, 59API bills real token usage and keeps the same single-host setup you already configured.

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