# CodeGeeX vs Gemini 4 Carbon (Gemini Carbon 4)

CodeGeeX records 0 monthly visits with — month-over-month growth and Free pricing. Gemini 4 Carbon (Gemini Carbon 4) records 4,339,429 monthly visits with +12.7% growth and Freemium pricing.

| Metric | [CodeGeeX](https://openaitools.app/tool/codegeex) | [Gemini 4 Carbon (Gemini Carbon 4)](https://openaitools.app/tool/gemini-4-carbon) |
| :--- | :--- | :--- |
| Website URL | https://huggingface.co/spaces/THUDM/CodeGeeX | https://deepmind.google/models/gemini/ |
| Categories | AI Code Generator, Large Language Models (LLMs), AI Translate | Large Language Models (LLMs), AI Models, AI Code Assistant, AI Agent |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 4,339,429 |
| MoM Growth Rate | — | +12.7% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 899,124 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 6 | 1,420 |
| Supported Platforms | Open Source | Website, API |

## 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)

## Gemini 4 Carbon (Gemini Carbon 4)

Gemini 4 Carbon (frequently searched as Gemini Carbon 4) is Google DeepMind's flagship frontier model announced on October 28, 2026, arriving just two weeks after Gemini 4 Argon. Built for sustained, multi-day agentic engineering and autonomous cyberdefense, Gemini 4 Carbon debuted at #1 on the Artificial Analysis Intelligence Index v5.0 with a score of 59—outperforming Claude Opus 5.5 (58), GPT-6 Astra (57), and Gemini 4 Argon (50) while using 29% fewer output tokens per task than Claude Opus 5.5.

Across the cybersecurity defense lifecycle, Gemini 4 Carbon establishes a decisive frontier lead: it scores 88.2% on SEC-bench Pro for discovering real-world software vulnerabilities, 54.8% on ExploitGym for validating exploitability, and 71.0% on Collinear's CWE-bench for generating root-cause patches. Internal Google evaluations show more than a 2x uplift in generating vulnerability-free code over Gemini 4 Argon, and the Chrome security team reported 10x higher patch quality compared to competing frontier models. Beyond security, Carbon jumps +89 Elo to #4 (1768) on WebDev Arena, reaches 96.2% F1 on GraphWalks (256K–1M long-context reasoning), scores 80.0% on RiemannBench, and ranks #1 of 93 models on Vals AI's Legal Research Bench.

Google is rolling out Gemini 4 Carbon through a deliberate staged release: initial access began via Google's Fairwind Program for vetted cybersecurity defenders and U.S. government pre-release testing partners, followed by broader availability across Google AI Ultra and Pro subscriptions, Google AI Studio, Vertex AI, and the agent-first Google Antigravity IDE. API pricing launches with a 50% introductory discount at $2.00 per 1M input tokens and $10.00 per 1M output tokens ($4.00 / $20.00 standard pricing after the promotional period), with cached input tokens discounted by 95% ($0.10–$0.20 per 1M).

**Pricing & Plans:** API introductory launch pricing (50% off): $2.00 / 1M input tokens and $10.00 / 1M output tokens ($4.00 / $20.00 standard rate), plus 95% off cached input tokens ($0.10–$0.20 / 1M). Staged access via Google's Fairwind Program, Google AI Studio, Vertex AI, and Google AI Ultra ($99.99–$199.99/mo) & Pro ($19.99/mo).

- **#1 on Artificial Analysis Intelligence Index v5.0 (Score 59):** Leads overall frontier intelligence across HLE-Diamond, Terminal-Bench-Science (64.8%), AA-Omniscience, and AutomationBench-AA, scoring 9 points higher than Gemini 4 Argon at comparable per-task cost ($7.76).
- **Full-Lifecycle Cybersecurity Defense (SEC-bench Pro 88.2%):** State-of-the-art autonomous vulnerability discovery (88.2% SEC-bench Pro), exploit validation (54.8% ExploitGym), and root-cause patching (71.0% CWE-bench), generating 2x more secure code than Argon.
- **Multi-Day Long-Horizon Agentic Engineering:** Persists for days through dead ends and complex tool-call loops across large codebases and low-level systems, scoring 65.2% on Terminal-Bench 4.0 and 1768 Elo (#4, +89 Elo) on WebDev Arena.
- **1M-Token Native Multimodal Context (96.2% GraphWalks F1):** Processes text, code, images, audio, speech, and video within a 1-million-token context window, achieving 96.2% F1 on 256K–1M GraphWalks and 72.5% on Chartography.
- **Hardened Alignment & Prompt-Injection Resilience:** Combines chain-of-thought monitoring, real-time misuse defenses, and high-pressure alignment training that cuts unsupported claims and fabrications by 2x compared to Gemini 4 Argon.

**Strengths:** Ranked #1 overall on Artificial Analysis Intelligence Index v5.0 (59), ahead of Claude Opus 5.5 (58) and GPT-6 Astra (57); Unmatched cybersecurity benchmark leadership on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%); Aggressive 50% launch API discount ($2 / $10 per 1M tokens) with 95% off context caching and 29% lower output token consumption than Claude Opus 5.5; True 1M-token multimodal context window with a 12-point jump on 256K–1M GraphWalks (96.2% F1 vs Argon's 84.2%)

**Limitations:** Staged rollout starts with Google's Fairwind Program for cyber defenders before general availability in Google AI Studio and Gemini apps; Standard API pricing doubles to $4.00 / $20.00 per 1M tokens once the introductory 50% launch discount period ends; High reasoning effort modes exhibit longer time-to-first-answer-token latency (9.75s–23.45s) on deep multi-step tasks

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

## Frequently Asked Questions

### How do CodeGeeX and Gemini 4 Carbon (Gemini Carbon 4) compare in monthly traffic?

CodeGeeX has 0 monthly visits, while Gemini 4 Carbon (Gemini Carbon 4) has 4,339,429. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeGeeX has a month-over-month growth rate of —; Gemini 4 Carbon (Gemini Carbon 4) has +12.7%.

### 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. Gemini 4 Carbon (Gemini Carbon 4): Freemium. API introductory launch pricing (50% off): $2.00 / 1M input tokens and $10.00 / 1M output tokens ($4.00 / $20.00 standard rate), plus 95% off cached input tokens ($0.10–$0.20 / 1M). Staged access via Google's Fairwind Program, Google AI Studio, Vertex AI, and Google AI Ultra ($99.99–$199.99/mo) & Pro ($19.99/mo).

## 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 | Highly efficient reasoning models with exceptionally low API pricing, but offers less specialized multimodal agentic tooling. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Industry-standard proprietary frontier models with powerful developer APIs, but lacks Google's native massive context window. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Powerful open-weight multimodal models with strong multilingual support, but requires self-hosting or third-party inference. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unified API gateway offering access to hundreds of models, but lacks a single native frontier model. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 6 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Zhipu AI's robust GLM language and multimodal APIs, but with less global developer ecosystem support. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 7 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Lightweight open-weights models from Google for local deployment, but less capable than frontier closed models. | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 8 | [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) |
| 9 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Serverless inference for open-source models with high-performance GPU clusters, but requires managing your own model weights. | [.md](https://openaitools.app/tool/together-ai.md) |
| 10 | [Tencent Hunyuan](https://openaitools.app/tool/tencent-hunyuan-large-model) | 1,485,463 | -1.2% | Contact for Pricing | Comprehensive multimodal foundation model family from Tencent, but primarily targeted at Asian enterprise markets. | [.md](https://openaitools.app/tool/tencent-hunyuan-large-model.md) |

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Source: https://openaitools.app/compare/codegeex-vs-gemini-4-carbon

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