# CodeGeeX vs Ollama

CodeGeeX records 0 monthly visits with — month-over-month growth and Free pricing. Ollama records 9,421,973 monthly visits with +4.3% growth and Free, Freemium, Paid pricing.

| Metric | [CodeGeeX](https://openaitools.app/tool/codegeex) | [Ollama](https://openaitools.app/tool/ollama) |
| :--- | :--- | :--- |
| Website URL | https://huggingface.co/spaces/THUDM/CodeGeeX | https://ollama.com |
| Categories | AI Code Generator, Large Language Models (LLMs), AI Translate | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models |
| Pricing Model | Free | Free, Freemium, Paid |
| Monthly Visits | 0 | 9,421,973 |
| MoM Growth Rate | — | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 4,020,134 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 6 | 0 |
| Supported Platforms | Open Source | app, open-source, website |

## CodeGeeX

CodeGeeX is an open AI coding project built around a 13-billion-parameter multilingual code generation model. Its pretraining corpus covers a large body of source code across more than 20 programming languages, which lets a single model handle mainstream languages such as Python, Java, C/C++, JavaScript and Go as well as less common ones. On top of the model sits a free coding assistant that plugs into popular editors: it proposes completions for the current or subsequent lines, can fill in a whole function from a natural-language comment, generates explanatory comments for existing code, and translates a snippet from one language into another.

Because the project is open, there are two common ways to use CodeGeeX. Developers who want a quick look can open the official Hugging Face Space and type a programming or computer-science question, receiving code and an explanation in return. Teams that prefer to keep work local can download the weights, run them on their own hardware, or call the hosted API, then drive the experience through the CodeGeeX editor plugin. The line of models has progressed through several generations, with the CodeGeeX4 collection representing the most recent published generation.

Note that the CodeGeeX Space is the original publisher's own demo, not an unofficial third-party mirror. As with any hosted Gradio demo, the container can be briefly unavailable while it restarts or rebuilds — if the interactive panel shows a runtime error, the underlying model and plugin remain usable through the repository, API or local deployment.

**Pricing & Plans:** CodeGeeX is free to use in its editor extension and open model releases; weights and the code repository are openly available for download and self-hosting. There is no published per-seat licence list on the project pages, so commercial or team deployment terms should be confirmed with the publisher.

- **Multilingual code generation:** A 13B-parameter model trained on a broad code corpus suggests the current and following lines of code across more than 20 programming languages.
- **Cross-language code translation:** Paste a snippet and ask CodeGeeX to express it in another programming language, useful when porting utilities or learning an unfamiliar stack.
- **Automatic comment generation:** Generates explanatory comments and docstrings for existing functions so that projects are easier to hand over and maintain.
- **Natural-language question answering:** The hosted demo accepts plain-text programming and computer-science questions and replies with executable code plus an explanation.
- **Open weights and self-hosting:** Model releases are published on Hugging Face, so teams can run CodeGeeX on their own infrastructure instead of sending code to a hosted service.

**Strengths:** Open model weights and a public repository make the technology auditable and self-hostable.; Genuinely multilingual coverage spanning more than 20 programming languages.; Free for individual developers through the editor extension and web demo.; Backed by an active research lineage with successive model generations published.

**Limitations:** The hosted Hugging Face demo runs in a shared Space and can return runtime errors or spin down when it needs rebuilding.; Team and commercial licensing terms are not laid out on the project pages, so enterprise use needs clarification.; Setup for local deployment requires your own GPU capacity and machine-learning engineering effort.

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

## Ollama

Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token.

The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows.

Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training.

**Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

- **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you.
- **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup.
- **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers.
- **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface.
- **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data.

**Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware

**Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers

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

## Frequently Asked Questions

### How do CodeGeeX and Ollama compare in monthly traffic?

CodeGeeX has 0 monthly visits, while Ollama has 9,421,973. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeGeeX has a month-over-month growth rate of —; Ollama has +4.3%.

### How does pricing compare?

CodeGeeX: Free. CodeGeeX is free to use in its editor extension and open model releases; weights and the code repository are openly available for download and self-hosting. There is no published per-seat licence list on the project pages, so commercial or team deployment terms should be confirmed with the publisher. Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

## 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 | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [Gemini 4 Carbon (Gemini Carbon 4)](https://openaitools.app/tool/gemini-4-carbon) | 4,339,429 | +12.7% | Freemium | Google DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning. | [.md](https://openaitools.app/tool/gemini-4-carbon.md) |
| 5 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) |
| 8 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |
| 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first desktop app focused specifically on local document chat and RAG, unlike Ollama's general-purpose CLI runtime. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 10 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) |

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Source: https://openaitools.app/compare/codegeex-vs-ollama

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