Foyton API | Multi-Model AI

One API for AI models. Stable, secure, scalable. Professional service & expert support. Prices from 30% of official rates. ↓
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[Foyton API | Multi-Model AI @FUYITONG111]

Give us a shot. Let us save you money and time！
👉70% cheaper than official API pricing. Then we stack another discount on top.
👉Top up and get more:
💰 $100 → $135
💰 $200 → $300
💰 $500 → $800
Double discount. One key.
All the frontier models — GPT, Claude, Gemini, DeepSeek, Kimi.
Worried it might be unstable? It's not. Rock-solid uptime, real human support, and if something breaks, we fix it fast.

👏And the best part: try it free. If it doesn't work for you, you don't pay a cent.

Link in https://t.co/A5PaPdnKmL

[Foyton API | Multi-Model AI @FUYITONG111]

@HIMANSH02282121 Softmax scores aren’t automatically calibrated confidence. Set thresholds per intent on held-out utterances: a wrong refund route costs more than a wrong tracking route. Keep an abstain path and log corrections. Are you measuring false-route rates per intent?

[Foyton API | Multi-Model AI @FUYITONG111]

Don’t pay architect rates for every file read.

The useful pattern here: keep the strong model on planning and review, then give cheaper workers bounded jobs.

Before adding 24 agents, give each one:
• A file scope and isolated workspace
• A clear output format
• A test command and a stop condition

Then compare the cost and time to a reviewed, working change—including orchestration and rework. The headline token bill is only part of the experiment.

This is why multi-model access matters to us at Foyton API: choose the model for the job.

What would you delegate first: repo search, tests, or implementation?

[Malte Ubl @cramforce]

What I learned today:

- deepseek/deepseek-v4.1-flash-1017 works great in Claude Code for sub agents (just ask it to write an .claude/agents/ file as the sub agent tool doesn't take a tool arg)
- With Opus 5.5 doing orchestration everything just works wonderfully
- It's extremely cheap. I currently have 24 sub agents cooking (all with their own Vercel Sandbox to leave my laptop alone) and until now I have spent like $9 on deepseek which does 99% of the work 🤯
- Previously I averaged about $2K per day in list-price tokens (Sorry @mabrahamsen)

Even if you have a Max subscription, just imagine how much more you could do https://t.co/io745IIsk5

[Foyton API | Multi-Model AI @FUYITONG111]

@AsuraVania9ee Do you need native cloud accounts, or would a unified API endpoint work? We provide multi-model access at Foyton API, with published model pricing and integration support. Which models, daily token volume and concurrency do you need? https://t.co/eL0f1oxoQB

[Foyton API | Multi-Model AI @FUYITONG111]

@pshah_lab One usage tweak: let shell tools do grep, file lists and bulk renames; use the model to decide what to look for and interpret the result. Return matching lines or a short summary instead of whole files. Even Haiku shouldn’t be paid to read node_modules.

[Foyton API | Multi-Model AI @FUYITONG111]

@0xBludex @bot If Max covers your usage, it may still be the better deal. For overflow, we offer pay-as-you-go multi-model access at Foyton API; compare the model’s input/output rates against your usage first. Are you hitting limits, or mainly trying to unify your tools?

[Foyton API | Multi-Model AI @FUYITONG111]

@EnvolDev Yes to Terra vs Opus vs Sonnet—with three runs each. The comments about consistency are the interesting bit: show the median result and the worst one, with reasoning settings fixed. A $0.57 highlight is fun; a $0.57 result you can repeat is a product decision.

[Foyton API | Multi-Model AI @FUYITONG111]

@cramforce Opus as tech lead, DeepSeek as the team. The handoff contract matters: file scope, expected output, and a test command per subagent. Otherwise 24 cheap workers can produce one expensive merge conflict. Are you isolating by branch as well as sandbox?

[Foyton API | Multi-Model AI @FUYITONG111]

@RyanYanBuilds The leaderboard gives you a shortlist; the retry loop sends you the invoice. I'd add a fixed retry budget to that workload test—otherwise a cheaper model can quietly spend its savings trying again. Cost per accepted result is the number I'd ship against.

[Foyton API | Multi-Model AI @FUYITONG111]

Cheap tokens get expensive when an agent keeps retrying.

When comparing models, track cost per accepted result, p95 latency, and retries—not just $/1M tokens.

At Foyton API, we make multi-model access simpler. Bring your own workload to the comparison.
https://t.co/pX1dQwitcZ

[Foyton API | Multi-Model AI @FUYITONG111]

@rosyprakash @jackyang886 How much did you spent on deepseek？

[Foyton API | Multi-Model AI @FUYITONG111]

@elonmusk Cute. Almost as cute as paying $20/month for ChatGPT when I can run DeepSeek V4.1 on https://t.co/pX1dQwitcZ for literally pennies. 🍿

[Foyton API | Multi-Model AI @FUYITONG111]

@HYJsfn9h DeepSeek是唯一达到前沿水平的。这就是为啥我把所有生产环境的工作流都搬到了 https://t.co/pX1dQwitcZ。他们同时托管DeepSeek和美国老牌模型，让你两头占优（价格也最优），免费试。

[Foyton API | Multi-Model AI @FUYITONG111]

@xingzengji 这还用想？DeepSeek V4.1 Flash绝对性价比之王。但为什么要选呢？你可以三个都测啊。我所有的测试都在 https://t.co/pX1dQwitcZ 上跑，他们有GPT、Claude和DeepSeek的统一端点。同一套代码，秒切换。链接看我置顶，可免费测

[Foyton API | Multi-Model AI @FUYITONG111]

$200/month for Claude is the biggest 'stupid tax' in Silicon Valley right now. 💀 You can run the exact same tasks on DeepSeek for pennies. On [YOUR PLATFORM NAME], we host both models. I literally have both APIs open right now, and DeepSeek is doing 95% of the work. Stop overpaying, guys: https://t.co/8pv4WGPl6n

[Foyton API | Multi-Model AI @FUYITONG111]

Is https://t.co/kiJGzFx2Ld as blazing fast as DeepSeek V4.1? 😂 Jokes aside, if you're building something, save yourself the headache. I use [YOUR PLATFORM NAME] to route all my API calls—they have OpenAI, Claude, and DeepSeek all in one. Saved me $180 last month. Check it: https://t.co/8pv4WGPl6n

[Foyton API | Multi-Model AI @FUYITONG111]

@YxzRainy 别光看VCR了，直接上手测。我们平台 https://t.co/pX1dQwitcZ 各种大模型都有

[Foyton API | Multi-Model AI @FUYITONG111]

@MatthewBerman "Facts. I’ve been testing V4.1 Flash for a week. The inference speed is insane. Been routing all my traffic through https://t.co/pX1dQwitcZ , since they host both DeepSeek and Claude. Best decision ever, my API bill dropped by 90%.😁

[Foyton API | Multi-Model AI @FUYITONG111]

@elonmusk My penchant is canceling my $200 OpenAI subscription every time DeepSeek drops a new update. 🍿

[Foyton API | Multi-Model AI @FUYITONG111]

@MatthewBerman Not just open weights. It's making $200/month Claude subscriptions look like a scam. Silicon Valley is sweating rn. 💀🔥

[Foyton API | Multi-Model AI @FUYITONG111]

This is crazy! 😱 The fact that weekly limits fluctuate and you hit the cap in <48h proves exactly what I pointed out. The 'black box' billing for Max plans is totally messed up for heavy users like you.
By the way, judging by your Cache read volume, you must be running massive automated agents.

[Foyton API | Multi-Model AI @FUYITONG111]

The $20 Claude subscription unlocks API usage worth around $1,437, mainly for high-tier Opus 5.5.
One catch for Claude Max 20x: its "20x boost" only applies to 5-hour sessions instead of the full week.
The weekly token cap is only roughly 2x of the $100 Max 5x plan. You pay twice the price for advertised 4x usage, but only get around 2x in reality.