# AskCodi vs Qwen 4 (Alibaba Qwen4)

AskCodi records 11,159 monthly visits with -11.1% month-over-month growth and Freemium pricing. Qwen 4 (Alibaba Qwen4) records 35,101,353 monthly visits with -6.2% growth and Freemium pricing.

| Metric | [AskCodi](https://openaitools.app/tool/askcodi) | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) |
| :--- | :--- | :--- |
| Website URL | https://www.askcodi.com | https://qwen.ai |
| Categories | AI Code Assistant, AI Code Generator, AI Developer Tools | Large Language Models (LLMs), Open Source AI Models, AI Chatbot, AI Assistant |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 11,159 | 35,101,353 |
| MoM Growth Rate | -11.1% | -6.2% |
| Primary Market | United States | Russia |
| Direct Visits | 4,471 | 25,020,350 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 8 | 1,180 |
| Supported Platforms | Website | Website, API, Open Source |

## AskCodi

AskCodi has evolved from a coding-assistant tool into a describe-and-build platform. You type a single sentence about what you want, and Codi assembles a real, deployable product rather than snippets of code. The home page and template gallery already ship with eleven live example sites — booking sites, portfolios, real estate and travel pages — that you can open and browse, not just screenshots. Everything runs in one workspace: your conversation with the agent on the left and a live preview on the right.

Beyond the visible page, Codi bundles the infrastructure most no-code tools leave out. A build comes with hosting, a TLS certificate and a real domain (bring your own or use the one provided), editable database tables for customers, orders and bookings, a logs view that the agent itself can read to debug errors, scheduled automations, and dashboards built from your own data. Full-stack options add accounts and payments, with mobile apps in development.

Pricing is token-based with a genuinely free starting tier: one million tokens a month, no card and no expiry, good for one app. Paid plans (Individual, Pro, Business) scale the token allowance and the number of apps, and each paid plan returns its full price as tokens at $1.25 per million, so teams effectively convert spend into usable build budget. Code ownership stays with the user, stored in a GitHub account they control.

**Pricing & Plans:** Free tier with 1,000,000 tokens per month (no card, 300,000/day cap, one app). Paid plans: Individual $29/mo (one app, ~23.2M tokens), Pro $99/mo (up to 5 apps, ~79.2M tokens), Business $199/mo (up to 20 apps, ~159.2M tokens); each paid plan refunds its full price as tokens. Annual billing gives two months free.

- **Describe-and-build workspace:** Type what you want in one sentence and watch a live page or app appear side by side with the chat; approve or request changes before anything goes online.
- **Infrastructure included:** Each build ships with hosting, TLS, a domain, editable database tables, request/error logs, scheduled automations and data-driven dashboards.
- **Bring your own domain:** Go live on the provided address or connect a domain you already own, with certificate and hosting handled automatically.
- **Agent-readable logs:** Errors and requests are collected in one list that Codi can read itself, so it can diagnose problems instead of asking you to describe them.
- **You keep the code:** Generated projects live in a GitHub account you own, so you can take the codebase anywhere.

**Strengths:** Genuinely free starting tier with no card required; Bundles hosting, domain, database and logs that most builders leave out; Generated code lives in your own GitHub account; Agent can read its own error logs to debug builds

**Limitations:** Token-metered pricing means heavy builds can consume budget quickly; Mobile app support is still listed as coming soon; Full-stack builds depend on the agent understanding a short, sometimes ambiguous brief

[Profile (Markdown)](https://openaitools.app/tool/askcodi.md)

## Qwen 4 (Alibaba Qwen4)

Qwen 4 (also known as Qwen4 or Tongyi Qianwen 4) is Alibaba Cloud's fourth-generation foundation model family and multimodal AI assistant platform accessible at qwen.ai and chat.qwen.ai. Formally unveiled in training at the Hangzhou Apsara Conference on September 22, 2026 and detailed on stage at Apsara Amsterdam on October 29, 2026, Qwen 4 spearheads Alibaba's full-stack AI roadmap that scales toward 5 to 10 trillion parameters in the upcoming Qwen 4.5 and Qwen 5 generations.

The Qwen 4 series is organized into four core deployment tiers—Qwen4-Max (flagship frontier reasoning model), Qwen4-Plus (balanced enterprise API workhorse), Qwen4-Flash (low-latency, high-throughput model), and Qwen4-27B (a 27-billion-parameter open-weight model engineered to run locally on consumer PCs and single-GPU workstations)—alongside specialized variants spotted in official Qwen Code repositories such as qwen4-coder-plus and qwen4-omni-120b-think. Architecturally, Qwen 4 builds on the foundation previewed in August 2026's Qwen3.8-Flash-Next: a hybrid Gated DeltaNet + Gated Attention sparse Mixture-of-Experts (MoE) design (125B total parameters with just 6B active per token and a 51B n-gram embedding lookup layer) paired with a 1-million-token context window and Recursive Self-Improvement (RSI) post-training.

For developers, enterprises, and everyday users, the Qwen platform offers a completely free web and mobile workspace at chat.qwen.ai featuring Deep Research, Web Dev Artifacts, live search, and native image/video/audio generation (Qwen-Image 3.1 and Qwen-Audio 3.1), while open-weight checkpoints are distributed on Hugging Face, ModelScope, and Ollama alongside commercial API hosting on Alibaba Cloud Model Studio.

**Pricing & Plans:** Free multimodal web & mobile chat at chat.qwen.ai; Apache 2.0 open-weight local models (Qwen4-27B & Qwen3.8-Flash-Next architecture preview) free on Hugging Face and Ollama; commercial API on Alibaba Cloud Model Studio (~$0.15 / $0.47 per 1M tokens on Flash tiers and ~$2.00 / $6.00 per 1M tokens on Max tiers).

- **Four-Tier Qwen 4 Model Lineup (Max, Plus, Flash & 27B):** Covers every compute envelope from the multi-trillion-scale Qwen4-Max flagship and Qwen4-Plus/Flash APIs to the local PC-friendly Qwen4-27B open-weight checkpoint, plus qwen4-coder-plus and qwen4-omni-120b-think.
- **Hybrid Gated DeltaNet + Sparse MoE & N-Gram Memory:** Pioneered in the Qwen3.8-Flash-Next architecture preview, combining ultra-lean active parameter routing (6B active out of 125B) with a 51B n-gram embedding layer that trades compute for instant memorized lookup.
- **1-Million-Token Context Window Across Modalities:** Sizes the Qwen 4 generation at a full 1M-token context window across text, code, images, audio, and video for repository-wide coding and cross-document reasoning.
- **Recursive Self-Improvement (RSI) & Agentic Tool Use:** Trained via multi-cycle automated Recursive Self-Improvement across coding, math, and hardware EDA workflows—demonstrating 10,000+ autonomous tool calls in chip design and software engineering.
- **Free Qwen Chat Workspace & Open-Weight Ecosystem:** Provides free access at chat.qwen.ai with Web Dev Artifacts, Deep Research, Qwen-Image 3.1, and Qwen-Audio 3.1, plus one-command local deployment via Ollama, vLLM, and Hugging Face.

**Strengths:** Complete 4-tier ecosystem spanning cloud flagships (Qwen4-Max/Plus/Flash) and consumer-GPU open weights (Qwen4-27B); Breakthrough Gated DeltaNet + 51B n-gram memory MoE architecture delivers frontier quality at a fraction of active inference compute; 1-million-token context window and native multimodal support across text, code, vision, audio, and video; Free full-featured web assistant at chat.qwen.ai with no mandatory subscription wall for everyday research and coding

**Limitations:** Staged late-2026 rollout following Apsara Hangzhou (Sept 22) and Amsterdam (Oct 29) means flagship Qwen4-Max weights and APIs release progressively after the Qwen3.8-Flash-Next architecture preview; Largest Qwen4-Max and upcoming 5–10T parameter Qwen 4.5/5 models require cloud APIs or multi-node enterprise GPU clusters; Brand split between international Qwen (qwen.ai / Model Studio) and domestic Tongyi Qianwen can confuse first-time API adopters

[Profile (Markdown)](https://openaitools.app/tool/qwen-4.md)

## Frequently Asked Questions

### How do AskCodi and Qwen 4 (Alibaba Qwen4) compare in monthly traffic?

AskCodi has 11,159 monthly visits, while Qwen 4 (Alibaba Qwen4) has 35,101,353. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AskCodi has a month-over-month growth rate of -11.1%; Qwen 4 (Alibaba Qwen4) has -6.2%.

### How does pricing compare?

AskCodi: Freemium. Free tier with 1,000,000 tokens per month (no card, 300,000/day cap, one app). Paid plans: Individual $29/mo (one app, ~23.2M tokens), Pro $99/mo (up to 5 apps, ~79.2M tokens), Business $199/mo (up to 20 apps, ~159.2M tokens); each paid plan refunds its full price as tokens. Annual billing gives two months free. Qwen 4 (Alibaba Qwen4): Freemium. Free multimodal web & mobile chat at chat.qwen.ai; Apache 2.0 open-weight local models (Qwen4-27B & Qwen3.8-Flash-Next architecture preview) free on Hugging Face and Ollama; commercial API on Alibaba Cloud Model Studio (~$0.15 / $0.47 per 1M tokens on Flash tiers and ~$2.00 / $6.00 per 1M tokens on Max tiers).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Provides state-of-the-art open-weight reasoning models and low-cost APIs, but with less emphasis on multimodal Alibaba ecosystem tools. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 3 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Describe your idea in chat and Lovable turns it into a working app or website | [.md](https://openaitools.app/tool/lovable.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of models behind one API gateway, but functions as a router rather than hosting native Qwen infrastructure. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 6 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 7 | [Emergent](https://openaitools.app/tool/emergent) | 5,788,850 | +5% | Freemium | Describe an app in chat and ship it | [.md](https://openaitools.app/tool/emergent.md) |
| 8 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Offers competing Chinese foundation model APIs and agent builders, but specializes in Zhipu AI's GLM architecture. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 9 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Provides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants. | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 10 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers ultra-fast inference speeds using custom LPU hardware, but supports a more limited selection of open models. | [.md](https://openaitools.app/tool/groq.md) |

---
Source: https://openaitools.app/compare/askcodi-vs-qwen-4

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)