# CodeHound vs Gemini 4 Carbon (Gemini Carbon 4)

CodeHound records 116 monthly visits with +70.6% month-over-month growth and Freemium pricing. Gemini 4 Carbon (Gemini Carbon 4) records 4,339,429 monthly visits with +12.7% growth and Freemium pricing.

| Metric | [CodeHound](https://openaitools.app/tool/codehound) | [Gemini 4 Carbon (Gemini Carbon 4)](https://openaitools.app/tool/gemini-4-carbon) |
| :--- | :--- | :--- |
| Website URL | https://cybersanctus.com | https://deepmind.google/models/gemini/ |
| Categories | AI Contract Review, AI Code Review, Large Language Models (LLMs) | Large Language Models (LLMs), AI Models, AI Code Assistant, AI Agent |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 116 | 4,339,429 |
| MoM Growth Rate | +70.6% | +12.7% |
| Primary Market | Global | United States |
| Direct Visits | 49 | 899,124 |
| Review Score | 3.8 | 4.8 |
| Saved Count | 0 | 1,420 |
| Supported Platforms | Website | Website, API |

## CodeHound

CodeHound is the smart contract auditing arm of CyberSanctus, a cybersecurity company whose core business covers penetration testing, vulnerability assessment and red team engagements. CodeHound applies that offensive-security mindset to blockchain code: it layers a fine-tuned GPT-4o model on top of the firm's existing static and dynamic scanners so that Solidity projects — from a single file to a full Hardhat or Truffle repository — can be reviewed quickly for vulnerabilities and risky patterns.

The tool markets itself on deep-analysis reporting that goes beyond what a generic scanner flags: detectors are built on widely recognized security frameworks and updated continuously, with the target audience being DeFi protocols and decentralized applications. A GitHub integration lets teams scan recent commits automatically rather than uploading code by hand, so security checks fit into an existing development workflow.

CodeHound is presented by CyberSanctus as an experimental platform currently marked "coming soon" on the company's site, with access granted on request. Prospective users should treat availability, feature scope and any pricing as provisional and confirm the current status directly with CyberSanctus.

**Pricing & Plans:** CodeHound is accessed through CyberSanctus, where its pricing model is listed as freemium. Because the product is flagged as an experimental preview with access on request, exact plan details and free-tier limits should be confirmed with CyberSanctus directly.

- **GPT-4o powered analysis:** A fine-tuned model built on OpenAI's GPT-4o reasoning is combined with the firm's scanners to surface vulnerabilities and risk patterns in Solidity code.
- **Static and dynamic scanning:** Existing static and dynamic analysis tools run alongside the AI layer to catch both pattern-based weaknesses and behaviour-level issues.
- **Framework-based detectors:** Vulnerability detectors are grounded in widely recognized security frameworks and are updated continuously as new attack classes emerge.
- **GitHub integration:** Connect a repository so the latest commits are scanned automatically, removing the need to upload or re-download project files manually.
- **Project-scale support:** Scanning works across a single Solidity file or an entire Hardhat or Truffle project, with actionable remediation guidance returned in minutes.

**Strengths:** Combines LLM reasoning with established static and dynamic scanning techniques.; Supports both single-file checks and full Hardhat or Truffle projects.; Backed by an experienced penetration-testing firm, so offensive-security context is strong.; GitHub integration makes recurring security checks convenient for busy teams.

**Limitations:** Marked as an experimental, coming-soon platform with access on request, so availability can be limited.; Detailed plan limits and pricing are not published publicly and must be confirmed with the vendor.

[Profile (Markdown)](https://openaitools.app/tool/codehound.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 CodeHound and Gemini 4 Carbon (Gemini Carbon 4) compare in monthly traffic?

CodeHound has 116 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?

CodeHound has a month-over-month growth rate of +70.6%; Gemini 4 Carbon (Gemini Carbon 4) has +12.7%.

### How does pricing compare?

CodeHound: Freemium. CodeHound is accessed through CyberSanctus, where its pricing model is listed as freemium. Because the product is flagged as an experimental preview with access on request, exact plan details and free-tier limits should be confirmed with CyberSanctus directly. 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 10 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | Secure enterprise inference platform routing multiple frontier models, but specialized primarily around code workspaces. | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |

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

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