DEV Community: yanlong wang

Why I Switched from Grammarly to a Free Alternative as a Developer in 2026

yanlong wang — Tue, 14 Jul 2026 12:01:38 +0000

Why I Switched from Grammarly to a Free Alternative as a Developer in 2026

I'll be honest: I used Grammarly Premium for two years. Every month, $12 came out of my account. And for most of that time, I thought it was worth it — better emails, fewer typos in documentation, cleaner PR descriptions.

The problem? Grammarly was never built for people who write code.

The final straw came when I was writing a technical blog post about an API integration. I typed The timeout parameter accepts None by default, and Grammarly flagged three "errors":

timeout should be capitalized as a sentence start (no, it's a parameter name)
None should be "none" (no, it's Python's None)
api should be expanded to "API" (maybe, but not in a code block)

That's when I realized: Grammarly treats everything as prose. It has no concept of code, technical terms, or developer context. And I was paying $144/year for it.

The Search for a Developer-Friendly Alternative

I tried several alternatives. LanguageTool handles technical terms slightly better, but its free tier is limited to 10,000 characters per check. QuillBot is great for paraphrasing but useless for grammar in a technical context. ProWritingAid offers detailed reports but slows to a crawl on documentation-sized texts.

What I really wanted was simple: a writing assistant that understands what None, timeout, and kwargs are — and doesn't charge me a monthly subscription just to write better commit messages.

What I Found: Lint

Lint is a free AI writing tool platform built specifically for developers and technical writers. Here's how it compares to Grammarly:

Feature	Grammarly Premium ($12/mo)	Lint (Free tier)
Code-aware grammar check	❌ Misreads code as prose	✅ Respects variable names, keywords, types
Technical term protection	❌ Flags `None`, `True`, `kwargs`	✅ Recognizes common programming terms
Paraphrasing 6 modes	❌ Limited options	✅ 6 modes (Standard, Fluency, Formal, Creative, Simple, Academic)
Translator with technical context	❌ No	✅ 12 source + 10 target languages
Summarizer for docs/code comments	❌ No	✅ Yes
Max characters per check	Limited	5,000 (Trial), up to 500K (Pro)
Monthly subscription	$12/month × forever	$3 one-time, or use your own API key for free
Tools available	Grammar + tone + plagiarism	10 tools: grammar, paraphrase, summarize, translate, email, academic, code explainer, readability, tone, plagiarism

Wait — I need to correct something. Lint's free tier gives you 3 checks per day. But if you bring your own API key (BYOK), you get unlimited use at your actual API cost — typically $0.02 per request. For a developer who already has a DeepSeek or OpenAI key, that's effectively free.

Why BYOK Changes Everything

Grammarly makes you pay $12/month whether you use it once or a hundred times. Lint's BYOK model lets you use your own API key — no subscription, no monthly bill, no surprises.

If you're already using DeepSeek or any OpenAI-compatible API, you can bring your key to Lint and get:

Unlimited grammar checks
Unlimited paraphrasing (6 modes)
Unlimited translation (12 languages)
Unlimited summarization
Email writing, academic writing, code explanations
Readability and tone analysis

All for whatever you're already paying for API access. For most developers, that's a few cents a day.

The Tools I Actually Use

Since switching, here's what my writing workflow looks like:

Grammar Check: Run PR descriptions and documentation through Lint's grammar checker. It doesn't flag None as a capitalization error.
Paraphraser: When I need to rephrase a technical explanation, the 6 modes give me flexibility without mangling code terms.
Translator: Translating API docs with DeepL always broke code samples. Lint's translator preserves technical formatting.
Code Explainer: I paste complex functions and get plain-English explanations.
Summarizer: Long technical reports get condensed without losing key details.

The Verdict After 6 Months

I've been using Lint for six months now. I have not paid a single dollar for it — I use my existing DeepSeek API key (the same one I use for coding). My monthly API bill went up by about $0.80 from the extra usage. That's $0.80 instead of $144.

But more importantly: my writing quality is actually better than it was with Grammarly, because Lint doesn't fight me on technical terms. My PR descriptions are cleaner. My documentation is more readable. My emails are more professional. And I don't have to manually dismiss 50 false positives every time I check a technical document.

Try It Yourself

If you're a developer tired of paying $12/month for a grammar checker that doesn't understand code, give Lint a try:

→ Try Lint's Grammar Check for Free

No credit card. No subscription. Bring your own API key and use it forever at cost.

Or start with the $3 Trial (100 checks/day, 5K chars each) and see how it handles your code. I promise you'll notice the difference the first time you paste in a function with **kwargs.

This post was written with Lint's grammar checker, naturally.

我用奇门遁甲给自己的 SaaS 做了一场代码审计

yanlong wang — Tue, 14 Jul 2026 11:59:28 +0000

我用奇门遁甲给自己的 SaaS 做了一场代码审计

大多数人听到"奇门遁甲"，第一反应是算命。

但在我手里，它是一套符号系统——九星、八门、八神、九宫，本质是把一个复杂系统的状态，映射成一组可观察的"象"。星代表能量属性，门代表通道状态，神代表环境变量。它不是预测未来，是给当下拍一张结构化的 X 光。

我做了一个叫"境明"的 AI 奇门产品（qimenseek）。它能排盘、能解读、能分场景取用神。但做产品的都知道一句话：自己写的代码，自己看不清。

于是我干了件有点疯的事——给这个项目排了一盘，用"项目用神"的视角看它到底有没有病：

开门 = 功能是否通畅
值符 = 系统核心层
日干 = 我自己（决策视角）
天芮 = 病灶 / 缺陷
庚 = 阻碍 / 技术债

盘的象很集中，三处把"项目还有哪些问题"点得明明白白：

值符（核心）临天芮病星、带死门 —— 核心层绑着没清干净的边界缺陷。带病，但不等于坏；只是病在核心，迟早会露。
日干宫压着玄武 —— 我有盲区。玄武主"数据不实、看不清的东西"。这象太准了：我之前一份审计报告严重过时，一度要对已经修好的东西做重复修复，根因就是盲区。
乾宫庚格 + 空亡 + 马星 + 螣蛇 —— 有个悬在 backlog 里的技术债重构，想动没动成、反复纠缠。正是"空亡 + 马星 + 螣蛇"的象。

排盘是视角，不是结论。我转头做了真实的代码审计，结果和盘象一一对上：

第一，盲区是真的。 我以为语译库缺一堆格局、Prompt 路径断裂，逐行核对后发现，7 月那次更新早把这些修好了。原报告基于更早的版本，已经失效。这本身就是"玄武"的现实验证——靠人眼审，必有盲区。

第二，安全漏洞是真的。 用扣子改的前端，为了让网页能调通 API，把后端同一个 API Key 明文写进了浏览器 JS。而后端鉴权是开着的（ENABLE_AUTH=true）。等于把钥匙挂在门上，任何人开 DevTools 就能拿走你的密钥随意调接口。

第三，半截活是真的。 一个 checkAPIError 错误处理函数，定义了却没被任何地方调用。用户真遇到 401/429/504，代码会直接把错误体当正常结果解析，白屏或异常。写了等于没写。

第四，最隐蔽的雷是真的。 原文件里一行 replace(/\n/g 被真实换行截断成了两行，导致整个 script.js 语法非法、整页 JS 无法解析。单宫解读功能整个是废的——只是日常路径碰不到那条分支，没人发现。

这些我全修了：

删掉前端 7 处明文 Key，公开排盘接口改为免鉴权白名单，管理类端点保留校验——既消除了"钥匙挂门上"，又没废掉鉴权机制；
把 checkAPIError 接进全部 7 个 fetch，401/429/504 现在真能拦截；
合并那行被截断的正则，整页 JS 恢复解析；
部署后端到端验证全绿：前端 Key 计数 0、公开端点免 Key 返回 200、非公开端点带错 Key 返回 401。

但技术修好，不等于产品能跑通。我又用运营视角盘了一遍，结论很扎心：技术底座扎实，但"建好庙没人来上香"。

页面零私域入口，用户用完即走，零留存；
首屏 CTA 弱到只有一句文案"遇事不决，可问"，没有明确的行动按钮；
搜索引擎权威为零，GSC 没验证，结构化数据近乎空白。

于是又改了 index.html：首屏加「🌀 免费起一局」按钮、页脚加联系入口、补 GSC 元标签，顺手修了个把 og:url 写成错误旧域名的 bug。

有意思的是，运营盘象和技术盘象同源。开门寄坤、生门被庚辛白虎冲克——"获客和体验差一口气"，在真实的流量和转化数据里得到了验证。

最后说句实在话：奇门是决策辅助的视角，不是玄学兜底。项目有没有病，最终靠代码、靠测试、靠用户说话。但作为一套把"我看不清的东西"逼出来的框架，它确实比单纯拍脑袋强——至少它逼我去核对了那行被截断的正则，也逼我去查了那个被明文写在前端的 Key。

境明：不替你做决定，只帮你照见真相。包括你自己的代码。

Server Monitoring for Small Business: What You Actually Need

yanlong wang — Sun, 28 Jun 2026 15:06:23 +0000

Server Monitoring for Small Business: What You Actually Need

If you run a small business website or SaaS, you've probably seen articles recommending "enterprise-grade monitoring" with "full observability stacks."

Don't do that. You'll spend more on monitoring tools than on your actual server.

Here's what a small business actually needs.

The Minimum Viable Monitoring Stack

1. Uptime Monitoring ($0-13/mo)

Your site loads. That's table stakes.

2. Resource Monitoring (included)

CPU, memory, disk, network. Catches problems before they become outages.

3. SSL Expiry Alerts (included)

Expired certs = broken checkout = lost revenue.

4. Payment Path Monitoring (if you take payments)

Your Stripe/Paddle checkout actually works. This is what most tools miss.

The Trap: Too Many Tools

Here's what happens when you buy individual tools for each need:

Need	Tool	Cost
Uptime	UptimeRobot	$7/mo
Server resources	Custom script + alerts	Your time
SSL monitoring	Certbot + cron	Your time
Payment monitoring	Doesn't exist	N/A
Total		$7/mo + hours of setup

Or one tool:

Need	Tool	Cost
All of the above	OpsMate	$13/mo

What a $13/mo Monitoring Plan Should Include

Before you pay for any monitoring tool, check if it covers:

[x] HTTP uptime monitoring
[x] Server resource monitoring (CPU, RAM, disk)
[x] SSL certificate expiry alerts
[x] Payment path monitoring (Stripe, Paddle, Creem)
[x] Auto-healing (restart crashed services)
[x] Status page
[x] Email / Slack / Telegram alerts

Most tools at this price point only check the first box.

The Cost of Not Monitoring

A 6-hour payment outage for a $5K/mo SaaS:

Direct revenue loss: ~$42
Support time: 2-3 hours
Churned customers: impossible to measure
Real cost: $200-500 per incident

A monitoring tool at $13/mo that catches this in 2 minutes instead of 6 hours? That pays for itself in the first incident.

Bottom Line

For small businesses running on a VPS:

Don't buy Datadog (overkill)
Don't cobble together 4 separate tools (waste of time)
Don't skip payment monitoring (expensive mistake)

Get one tool that covers everything.

OpsMate: 14-day free trial at yunshao.aicreditsapi.com. No credit card needed.

Originally published on yunshao.aicreditsapi.com.

Try OpsMate free for 14 days: yunshao.aicreditsapi.com

Why I Switched from Grammarly to a Free Alternative as a Developer

yanlong wang — Wed, 24 Jun 2026 02:35:44 +0000

Why I Switched from Grammarly to a Free Alternative as a Developer

---|-------------------|-------------------|
| Grammar checking | ✅ | ✅ |
| Code-aware | ❌ Mangles code | ✅ Preserves code |
| Technical term respect | ❌ False positives | ✅ Built-in |
| Cost | $12/month | Free (BYOK) or $3/month |
| Diff view | ❌ | ✅ Red/green highlights |
| Regenerate | ❌ | ✅ One-click retry |
| Usage stats | ❌ | ✅ Tokens/cost/time |
| Privacy | ❌ Server-side | ✅ Flexible |

The winner was clear: Lint (tools.aicreditsapi.com). It's the only free tool that actually understands code context.

How Lint Solved Each Problem

No More Mangled Code

When I paste a code block into Lint's Grammar Check, it leaves it alone. The system prompt explicitly tells the AI: "Never change code blocks, variable names, or technical terms." The result? My array.map() stays as array.map(), not "array dot map parentheses."

Technical Terms Recognized

Lint knows that "async," "await," "docker-compose," "npm," "git," "TypeScript," "JSX," and hundreds of other technical terms are valid. No red squiggly lines under your entire PR description.

Works at Scale

Each grammar check costs about $0.001. The $3/month plan gives you approximately 3,000 checks — that's less than a tenth of Grammarly's monthly cost for potentially years of usage. With BYOK (bring your own DeepSeek API key), it's completely free.

Developer-Friendly Features

Lint doesn't just check grammar — it shows you what changed. The red/green diff view highlights every correction. If you don't like the result, hit "Regenerate" for a fresh attempt. A stats panel shows tokens used, time taken, and cost per check.

The BYOK Advantage

The smartest thing about Lint is the BYOK model. You bring your own DeepSeek API key (or any OpenAI-compatible API key), and every tool works for free — no limits, no subscriptions.

If you don't have a DeepSeek key, you can get one from AiCredits for $3 (5M tokens), which covers thousands of grammar checks. Or just use the free tier: 3 checks per day with no signup required.

The Verdict

Three months after switching, I'm saving $144/year, my PR descriptions are cleaner, my documentation reads better, and I never have to explain to a grammar checker that "git push origin main" is not a run-on sentence.

Grammarly is great for marketing teams. For developers? There's a better, free option — and it actually understands what you're writing.

👉 Try Lint for free: https://tools.aicreditsapi.com/tools/
🔑 Bring your own key: Use any DeepSeek or OpenAI-compatible API key for unlimited free usage.

Originally published on AiCredits Blog.

Best Free Grammarly Alternatives for Developers in 2026: AI-Powered Writing Tool

yanlong wang — Wed, 24 Jun 2026 02:35:24 +0000

Best Free Grammarly Alternatives for Developers in 2026

---|---------------|----------------|
| Code context awareness | ✅ Yes (understands JS, Python, TS) | ❌ No |
| Technical term handling | ✅ Preserves all tech terms | ❌ "Corrects" them |
| API documentation support | ✅ Optimized for dev docs | ❌ Generic only |
| PR description review | ✅ Built-in patterns | ❌ Not supported |
| Price | Free (up to 500 checks/mo) | Free (limited) |
| Unlimited plan | $9/mo | $30/mo |

AiCredits Lint is purpose-built for developers. It understands JavaScript, Python, TypeScript, and popular frameworks — so when you write Array.prototype.map(), it doesn't try to rewrite it as "Array dot prototype dot map."

Try it free: tools.aicreditsapi.com

2. LanguageTool — Best Open-Source Alternative

LanguageTool is the most popular open-source grammar checker. It supports 30+ languages, has a browser extension, and respects technical terms better than Grammarly. The free tier is generous, and you can run your own instance for complete privacy.

3. Vale — Best for Technical Writers

Vale is a command-line prose linter. Think ESLint but for writing. It integrates into CI/CD pipelines, supports custom rules, and works beautifully with documentation workflows. Perfect for teams that want automated style checks on their docs.

4. Hemingway Editor — Best for Readability

Not a full grammar checker, but essential for making technical writing clearer. Hemingway highlights passive voice, complex sentences, and hard-to-read paragraphs. Free and web-based.

5. ProWritingAid — Best All-Rounder

ProWritingAid combines grammar checking with style analysis, readability scores, and plagiarism detection. The free version is more limited than LanguageTool, but the premium features are comprehensive.

How They Compare: Quick Decision Matrix

Tool	Price	Code-Aware	Developer Focus	API Available
AiCredits Lint	Free / $9	✅ Excellent	✅ Yes	✅ Yes
LanguageTool	Free / $79/yr	⚠️ Partial	⚠️ Not specific	✅ Yes
Vale	Free (OSS)	✅ Yes (custom rules)	✅ Yes	❌ CLI only
Hemingway	Free	❌ No	❌ No	❌ No
ProWritingAid	Free / $120/yr	❌ No	❌ No	⚠️ Limited

Which One Should You Choose?

For everyday technical writing — PR descriptions, Slack messages, documentation: Pick AiCredits Lint. It is the only tool that truly understands code context without charging enterprise prices.

For open-source projects — If you want self-hosted privacy: Pick LanguageTool.

For CI/CD documentation quality gates — If you are automating style checks in your pipeline: Pick Vale.

For improving clarity — If your writing is technically correct but hard to follow: Add Hemingway Editor to your toolkit.

Why Developers Are Switching in 2026

The shift is clear. Traditional grammar checkers treat technical writing as "bad English" and try to fix it. Developers are moving to tools that understand what they are actually writing about.

As one developer put it on Reddit: "I spent 15 minutes undoing Grammarly's changes to my React documentation. That is 15 minutes I could have spent actually coding."

Try It Yourself

The easiest way to experience code-aware writing is to try it:

Go to tools.aicreditsapi.com/tools/
Paste in a PR description, a README, or any technical text
Watch it flag real issues while leaving your technical terms alone

No signup required for the basic check. The free tier covers 500 checks per month — plenty for active developers.

Need stable DeepSeek API access? Try AiCredits

Originally published on AiCredits Blog.

Best Free AI Writing Tools for Developers in 2026: Grammar Checkers That Understand Code

yanlong wang — Wed, 24 Jun 2026 02:32:53 +0000

|-------------|-----------|---------------|------------|----------|
| Lint | ✅ Yes | ✅ BYOK Free | ✅ Yes | ✅ Yes | Code-aware writing |
| LanguageTool | ⚠️ Partial | ✅ Yes | ✅ Yes | ✅ Yes | Open-source integration |
| ProWritingAid | ❌ No | ✅ Yes (limited) | ✅ Yes | ✅ Yes | Long-form technical docs |
| Hemingway | ❌ No | ✅ Full (web) | ❌ No | ❌ No | Readability polish |
| QuillBot | ❌ No | ✅ Yes (limited) | ❌ No | ✅ Yes | Paraphrasing |

What to Look for in a Developer-Focused Grammar Checker

When choosing a grammar checker for development work, prioritize these features:

Code fence detection — The tool should recognize code blocks and inline code and skip them
Technical vocabulary — It should know common programming terms (async, deploy, config, refactor)
API access — So you can integrate it into your writing workflow
Markdown support — So it doesn't flag your markdown syntax as errors
Privacy — Your code shouldn't be sent to third-party servers for proofreading

Why Most Grammar Checkers Fail Developers

The fundamental problem is training data. Most grammar checkers are trained on news articles, academic papers, and fiction. None of those contain code blocks, git commands, or API documentation.

When you write const user = await db.find({ id: params.id }), an AI grammar checker trained on general English doesn't know what to do with it. It sees "await" as possibly misspelled, sees the object literal as a punctuation error, and recommends adding articles before every noun.

A code-aware tool like Lint avoids this by running its grammar engine around code blocks, not through them.

Get Started Today

You don't need to pay $30/month for Grammarly just to write technical docs. Start with a free code-aware tool and see the difference.

👉 Try Lint for free: tools.aicreditsapi.com/tools/ — BYOK support, Chrome extension, and no false positives on your code.

Need stable DeepSeek API access? Try AiCredits

Originally published on AiCredits Blog.

AI API Price War: DeepSeek V4-Pro Cuts 75% & Gemini 3.5 Flash Lands

yanlong wang — Mon, 22 Jun 2026 01:21:39 +0000

AI API Price War Heats Up: DeepSeek V4-Pro Cuts 75% & Gemini 3.5 Flash Lands

May 31, 2026 is shaping up to be a landmark day in the AI API market. Two developments are converging:

DeepSeek V4-Pro's 75% price cut goes permanent — the temporary promo ends, and the discount becomes the new baseline.
Google's Gemini 3.5 Flash arrived at I/O 2026, boasting 4x speed and sub-$10 output pricing.

The message is clear: the AI API price war is no longer simmering — it's boiling over.

The State of Play: DeepSeek V4-Pro's Aggressive Move

Back on May 22, DeepSeek dropped a bombshell: V4-Pro API pricing would permanently lock in at roughly one-quarter of its original price. The 75% discount that was supposed to expire on May 31? It's now the permanent rate.

Here's what the new pricing looks like:

Model	Input (per 1M tokens)	Output (per 1M tokens)	Context Window
DeepSeek V4-Pro	$0.435	$0.87	128K
DeepSeek V3	$0.14	$0.28	64K
Gemini 3.5 Flash	$1.50	$9.00	1M
Claude Haiku 4.5	$1.00	$5.00	200K
GPT-4o	$2.50	$10.00	128K

Pricing accurate as of May 2026. Sources: official API docs and third-party aggregators.

DeepSeek's V4-Pro output price of $0.87/M tokens is 10x cheaper than GPT-4o and 5x cheaper than Claude Haiku 4.5. For developers building AI agents, chatbots, or automated workflows that generate thousands of tokens per request, the savings compound fast.

Why This Matters More Than Previous Cuts

This isn't just another "we're reducing prices" announcement. Three things make DeepSeek's move different:

It's permanent. No more guessing whether the discount will expire next month.
It's V4-Pro — not the budget tier. This is DeepSeek's flagship reasoning model, competitive with GPT-4o and Claude Opus on benchmarks.
It resets developer expectations. When a top-tier model costs under $1/M output tokens, the pricing floor for the entire industry drops.

Google Gemini 3.5 Flash Enters the Arena

Not to be outdone, Google used I/O 2026 to unveil Gemini 3.5 Flash, and the numbers are impressive:

4x faster than other frontier models
1 million token context window — the largest in its class
Priced at $1.50/$9.00 per 1M input/output tokens
Outperforms Gemini 3.1 Pro on coding and agent benchmarks

Google is positioning Flash as the high-volume workhorse: fast enough for real-time applications, cheap enough to run at scale, and multimodal (text, vision, video, audio all supported natively).

The trade-off? At $9.00/M output, it's still 10x more expensive than DeepSeek V4-Pro for pure text workloads. If your app doesn't need multimodal capabilities, the cost difference is hard to ignore.

The Bigger Picture: Why Every API Is Getting Cheaper

This isn't random. Three structural forces are driving prices down across the board:

1. Inference Optimization Is Eating Cost

Techniques like speculative decoding, quantization, and kernel fusion are squeezing more tokens per GPU-second. DeepSeek's own V4-Pro architecture is reportedly several times more inference-efficient than V3.

2. Competition Is Brutal

The market has gone from "OpenAI and everyone else" to a legitimate free-for-all:

Anthropic iterating on Claude Opus/Sonnet/Haiku
Google pushing Gemini into production at Google-scale pricing
Meta open-sourcing Llama, letting anyone self-host
OpenAI defending with GPT-5 on the horizon
DeepSeek undercutting everyone on price while matching on quality

3. Developers Are Price-Sensitive — And Vocal

HN threads, Reddit discussions, and Twitter debates show that API pricing is a top-3 concern for AI builders. Providers who ignore pricing lose developer mindshare fast.

What This Means for AI Developers

Here's the practical takeaway for anyone building AI-powered applications:

If you're cost-sensitive (most of us are):
Start with DeepSeek V4-Pro. At $0.87/M output tokens, you can serve thousands of users before API costs become a concern. The OpenAI-compatible API means you can swap providers with minimal code changes.

If you need multimodal (vision, audio, video):
Gemini 3.5 Flash is the obvious choice — native multimodal support with a 1M context window at competitive pricing. No other model in this price range handles images and video natively.

If you're in a regulated industry (GDPR, HIPAA):
Consider Claude via AWS Bedrock or Azure's managed offerings. The compliance overhead is worth the premium.

The hybrid approach (recommended):
Use DeepSeek V4-Pro as your default, with fallback to Gemini Flash for multimodal tasks. This gives you the best of both worlds: cheap text, powerful vision — and no single-provider lock-in.

# Example: Multi-provider routing with cost optimization
import openai

def route_request(prompt: str, needs_vision: bool = False):
    if needs_vision:
        client = openai.OpenAI(
            base_url="https://generativelanguage.googleapis.com/v1beta",
            api_key="YOUR_GEMINI_KEY"
        )
        model = "gemini-3.5-flash"
    else:
        client = openai.OpenAI(
            base_url="https://api.deepseek.com/v1",
            api_key="YOUR_DEEPSEEK_KEY"
        )
        model = "deepseek-v4-pro"

    return client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": prompt}]
    )

The Catch: Access Is Still a Barrier

Here's the uncomfortable truth behind all these price cuts: cheap API access doesn't matter if you can't get access at all.

DeepSeek's official API still requires a Chinese phone number for registration. Google's API is geo-restricted in several regions. And most international developers can't pay with regional payment methods.

That's exactly the problem AiCredits was built to solve.

We provide OpenAI-compatible access to DeepSeek V4-Pro with:

No Chinese phone number required
PayPal and international credit cards accepted
Singapore CDN for low-latency API calls worldwide
Same DeepSeek V4-Pro quality you expect

Need stable DeepSeek API access? Try AiCredits — OpenAI-compatible, no Chinese phone number, PayPal accepted. Plans start at $3 for 5M tokens.

Originally published on AiCredits Blog.

DeepSeek V4-Flash vs V4-Pro: Complete Model Comparison Guide 2026

yanlong wang — Mon, 22 Jun 2026 01:21:23 +0000

DeepSeek V4-Flash vs V4-Pro: Complete Model Comparison Guide 2026

DeepSeek's V4 lineup gives developers a clear choice: V4-Flash for everyday speed, or V4-Pro for heavy reasoning. Both support 1M token context windows and are available through a single OpenAI-compatible endpoint.

Here's how they compare and which one you should pick.

At a Glance

Feature	V4-Flash	V4-Pro
Best for	Chat, RAG, classification	Coding, math, complex reasoning
Context window	1M tokens	1M tokens
Max output	384K tokens	384K tokens
Speed	Fast (~2-3x Pro)	Deep, deliberate
Use case	High-volume, low-latency	Accuracy-critical, deep analysis

V4-Flash: The Everyday Workhorse

V4-Flash is DeepSeek's general-purpose model. It handles chat, content generation, summarization, RAG pipelines, classification, and extraction with impressive speed. For most production applications — chatbots, documentation tools, email automation — Flash is the right choice.

Where Flash shines:

Customer-facing chatbots that need sub-second responses
High-throughput RAG applications (batch processing thousands of documents)
Code completion and simple debugging
Translation and content rewriting

V4-Pro: The Reasoning Powerhouse

V4-Pro is optimized for tasks that require deep reasoning, complex math, multi-step code generation, and analytical thinking. If your application involves logical deduction, mathematical proofs, or debugging intricate codebases, Pro delivers noticeably better results.

Where Pro excels:

Complex code generation (multi-file refactoring, architecture decisions)
Advanced mathematical and scientific computation
Legal or financial document analysis requiring deep reasoning
Research and data analysis

Pricing Comparison

DeepSeek official pricing applies to both models through AiCredits. Our prepaid packages give you flexible access:

Plan	Price	Tokens	Suitable For
Trial	$3	5M tokens	Test both models
Starter	$5	9M tokens	Light Flash usage
Standard	$9	17M tokens	Mixed Flash + Pro
Professional	$19	38M tokens	Heavy Pro workloads

Since both models share the same endpoint and API key, you can switch between them per request by changing the model parameter. No separate setup needed.

Real-World Decision Matrix

If you're building...	Recommended Model
Customer support chatbot	V4-Flash
Code review assistant	V4-Pro
Document summarizer	V4-Flash
Mathematical solver	V4-Pro
Content generator	V4-Flash
Debugging tool	V4-Pro (primary) + V4-Flash (fallback)

How to Switch Between Models

Both models are available through the same OpenAI-compatible endpoint:

from openai import OpenAI

client = OpenAI(
    api_key="your-aicredits-api-key",
    base_url="https://api.aicreditsapi.com/v1"
)

# Use V4-Flash for quick responses
flash_response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Summarize this document"}]
)

# Use V4-Pro for complex reasoning
pro_response = client.chat.completions.create(
    model="deepseek-reasoner",
    messages=[{"role": "user", "content": "Solve this complex math problem"}]
)

Executive Summary

Start with V4-Flash for most applications — it's fast, capable, and cost-effective
Switch to V4-Pro when you need deep reasoning, complex math, or advanced code analysis
Use both in a tiered architecture: Flash for simple queries, Pro for complex ones
AiCredits gives you direct access to both models through a single API key — no additional setup, no aggregator overhead

The best part? You don't have to choose. Both models are available with the same AiCredits API key, so you can mix and match based on your workload.

Originally published on AiCredits Blog.

AI API Price War Heats Up: DeepSeek V4-Pro Cuts 75% & Gemini 3.5 Flash Lands

yanlong wang — Mon, 22 Jun 2026 01:17:58 +0000

AI API Price War Heats Up: DeepSeek V4-Pro Cuts 75% & Gemini 3.5 Flash Lands

May 31, 2026 is shaping up to be a landmark day in the AI API market. Two developments are converging:

DeepSeek V4-Pro's 75% price cut goes permanent — the temporary promo ends, and the discount becomes the new baseline.
Google's Gemini 3.5 Flash arrived at I/O 2026, boasting 4x speed and sub-$10 output pricing.

The message is clear: the AI API price war is no longer simmering — it's boiling over.

The State of Play: DeepSeek V4-Pro's Aggressive Move

Here's what the new pricing looks like:

Model	Input (per 1M tokens)	Output (per 1M tokens)	Context Window
DeepSeek V4-Pro	$0.435	$0.87	128K
DeepSeek V3	$0.14	$0.28	64K
Gemini 3.5 Flash	$1.50	$9.00	1M
Claude Haiku 4.5	$1.00	$5.00	200K
GPT-4o	$2.50	$10.00	128K

Pricing accurate as of May 2026. Sources: official API docs and third-party aggregators.

Why This Matters More Than Previous Cuts

This isn't just another "we're reducing prices" announcement. Three things make DeepSeek's move different:

It's permanent. No more guessing whether the discount will expire next month.
It's V4-Pro — not the budget tier. This is DeepSeek's flagship reasoning model, competitive with GPT-4o and Claude Opus on benchmarks.
It resets developer expectations. When a top-tier model costs under $1/M output tokens, the pricing floor for the entire industry drops.

Google Gemini 3.5 Flash Enters the Arena

Not to be outdone, Google used I/O 2026 to unveil Gemini 3.5 Flash, and the numbers are impressive:

4x faster than other frontier models
1 million token context window — the largest in its class
Priced at $1.50/$9.00 per 1M input/output tokens
Outperforms Gemini 3.1 Pro on coding and agent benchmarks

Google is positioning Flash as the high-volume workhorse: fast enough for real-time applications, cheap enough to run at scale, and multimodal (text, vision, video, audio all supported natively).

The Bigger Picture: Why Every API Is Getting Cheaper

This isn't random. Three structural forces are driving prices down across the board:

1. Inference Optimization Is Eating Cost

2. Competition Is Brutal

The market has gone from "OpenAI and everyone else" to a legitimate free-for-all:

Anthropic iterating on Claude Opus/Sonnet/Haiku
Google pushing Gemini into production at Google-scale pricing
Meta open-sourcing Llama, letting anyone self-host
OpenAI defending with GPT-5 on the horizon
DeepSeek undercutting everyone on price while matching on quality

3. Developers Are Price-Sensitive — And Vocal

HN threads, Reddit discussions, and Twitter debates show that API pricing is a top-3 concern for AI builders. Providers who ignore pricing lose developer mindshare fast.

What This Means for AI Developers

Here's the practical takeaway for anyone building AI-powered applications:

If you're in a regulated industry (GDPR, HIPAA):
Consider Claude via AWS Bedrock or Azure's managed offerings. The compliance overhead is worth the premium.

# Example: Multi-provider routing with cost optimization
import openai

def route_request(prompt: str, needs_vision: bool = False):
    if needs_vision:
        client = openai.OpenAI(
            base_url="https://generativelanguage.googleapis.com/v1beta",
            api_key="YOUR_GEMINI_KEY"
        )
        model = "gemini-3.5-flash"
    else:
        client = openai.OpenAI(
            base_url="https://api.deepseek.com/v1",
            api_key="YOUR_DEEPSEEK_KEY"
        )
        model = "deepseek-v4-pro"

    return client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": prompt}]
    )

The Catch: Access Is Still a Barrier

Here's the uncomfortable truth behind all these price cuts: cheap API access doesn't matter if you can't get access at all.

That's exactly the problem AiCredits was built to solve.

We provide OpenAI-compatible access to DeepSeek V4-Pro with:

No Chinese phone number required
PayPal and international credit cards accepted
Singapore CDN for low-latency API calls worldwide
Same DeepSeek V4-Pro quality you expect

Need stable DeepSeek API access? Try AiCredits — OpenAI-compatible, no Chinese phone number, PayPal accepted. Plans start at $3 for 5M tokens.

Originally published on AiCredits Blog.

AiCredits vs OpenRouter vs Together AI: Which DeepSeek API Provider is Best?

yanlong wang — Mon, 22 Jun 2026 01:14:42 +0000

Quick Comparison Table

Feature	AiCredits	OpenRouter	Together AI
DeepSeek-V3	✅ Full support	✅ Full support	✅ Full support
Payment	PayPal, Credit Card	Credit Card, Crypto	Credit Card, Crypto
No Chinese Phone	✅ Yes	✅ Yes	✅ Yes
Minimum Spend	$3	~$5 (prepay)	~$5 (prepay)
OpenAI Compatible	✅ Yes	✅ Yes	✅ Yes
Connection	Direct to DeepSeek	Aggregated (routed)	Aggregated (routed)

1. AiCredits — Best for Stable, Direct DeepSeek Access

AiCredits is purpose-built for developers outside China who need reliable DeepSeek API access without friction. We don't aggregate models — we provide direct DeepSeek access with a convenience layer on top.

Key Advantages

PayPal support — no credit card? No problem.
No Chinese phone number required — unlike DeepSeek official.
OpenAI-compatible API — drop-in replacement for existing code.
Singapore CDN — low latency for Asia-Pacific users.
Multi-key failover — stable connections, even during DeepSeek peak hours.

Pricing

Plan	Price	Token Quota
Trial	$3	5M tokens
Starter	$5	9M tokens
Standard	$9	17M tokens
Professional	$19	38M tokens

AiCredits pricing is package-based, not per-token metered. You buy a quota upfront and use it at your pace. No surprise bills, no API key rotation needed.

2. OpenRouter — Best for Model Variety

OpenRouter is a unified LLM API gateway that routes requests to multiple model providers. It's excellent for experimenting across models, but adds a routing layer between you and DeepSeek.

Key Trade-offs

Wide model selection (100+ models)
Free tier available (limited rate)
Routes through OpenRouter's infrastructure — adds latency vs direct connection
Credit card or crypto required for payment

3. Together AI — Best for Open-Source

Together AI focuses on open-source model hosting and fine-tuning. DeepSeek is one of many models they offer, alongside Llama, Mistral, and others.

Key Trade-offs

Strong fine-tuning API and inference optimization
DeepSeek is not their primary offering
Higher per-token cost for DeepSeek specifically
Credit card or crypto required

Final Verdict

Stable DeepSeek API access: AiCredits — direct connection, no aggregation layer
Multi-model experimentation: OpenRouter
Fine-tuning and open-source: Together AI

If your priority is stable, direct DeepSeek API access with no signup friction, start with AiCredits. Try it for $3.

Originally published on AiCredits Blog.

DeepL vs Lint: Technical Translation for Developers

yanlong wang — Sun, 21 Jun 2026 02:10:33 +0000

Technical translation is hard. Most tools handle business documents fine, but throw code, commands, or technical terms at them, and things fall apart.

Here's how DeepL and Lint compare for technical translation.

The Translation Problem for Developers

DeepL is widely considered the best machine translation tool. It handles 30+ languages with impressive quality. But when translating technical content:

"Run npm install" becomes a literal translation — commands get translated instead of kept as-is
"The API returns JSON" — technical terms may get localized incorrectly
Code blocks get translated — variable names and function calls end up in the target language
Formatting gets lost — markdown, indentation, and structure can break

How Lint Handles Technical Translation

Lint's translator was designed with technical content in mind:

Code block preservation — code stays in its original language, only comments and surrounding text get translated
Technical term protection — "API", "endpoint", "deploy" are recognized as technical terms and preserved
Format-aware — markdown, code fences, and lists maintain their structure
Custom glossary support — define how specific terms should be translated

Feature Comparison

Feature	DeepL	Lint
Number of languages	30+	12+
Document translation	✅	❌
Glossary/term base	✅ (Pro)	✅ (free)
Code-aware	❌	✅
Technical term preservation	❌	✅
Format preservation	Partial	✅
Price	$8.99/mo	$3/mo
BYOK (free with own key)	❌	✅

What Lint Can Translate

Lint's translator currently supports:

English ↔ Chinese, Japanese, Korean
English ↔ French, German, Spanish, Portuguese
English ↔ Arabic, Russian, Hindi

More languages are being added.

When to Use Each

DeepL is better for: Large document translation, business correspondence, general content in many languages.

Lint is better for: Technical documentation translation, API docs, code comments, developer guides, README files.

Try Lint free at https://tools.aicreditsapi.com/tools/translator

Originally published on Lint Tools Blog.

QuillBot vs Lint: Which Paraphraser Understands Technical Writing?

yanlong wang — Sun, 21 Jun 2026 02:10:10 +0000

If you write technical documentation, API docs, or code comments, you've probably tried a paraphrasing tool at some point. The problem? Most of them mangle your technical terms.

Here's how QuillBot and Lint compare for technical writing.

The Technical Writing Problem

QuillBot is the most popular paraphrasing tool. It offers 10+ modes and handles general text well. But when you paste technical content, issues pop up:

"npm install" becomes "npm set up" — technical commands get rewritten
"REST API endpoint" becomes "relaxation API endpoint" — R.I.P. technical accuracy
Code snippets get completely restructured — breaking the syntax

How Lint Handles Technical Content

Lint was built specifically for developers and technical writers. Its paraphrasing engine:

Detects and preserves code blocks — anything in backticks or code formatting stays untouched
Recognizes technical terms — "Webpack", "TypeScript", "CI/CD pipeline" are left as-is
Maintains technical accuracy — the meaning stays intact, only the surrounding prose gets rewritten

Mode Comparison

Feature	QuillBot	Lint
Standard paraphrase	✅	✅
Fluency mode	✅	✅
Formal mode	✅	✅
Creative mode	✅	✅
Academic mode	✅	✅
Code-aware	❌	✅
Technical term protection	❌	✅
Synonym slider	✅	❌
Price	$13/mo	$3/mo
BYOK (free with own key)	❌	✅

When to Use Each

QuillBot is great for: Academic essays, general content writing, social media posts.

Lint is better for: Technical documentation, API docs, code comments, README files, developer blog posts.

Price

QuillBot Premium costs $13.32/month. Lint starts at just $3/month. And if you already have a DeepSeek API key, Lint is completely free.

Try Lint free at https://tools.aicreditsapi.com/tools/paraphraser

Originally published on Lint Tools Blog.