# Boxes.dev vs Gemini 4 Carbon (Gemini Carbon 4)

Boxes.dev records 552 monthly visits with 0% month-over-month growth and Freemium, Contact for Pricing pricing. Gemini 4 Carbon (Gemini Carbon 4) records 4,339,429 monthly visits with +12.7% growth and Freemium pricing.

| Metric | [Boxes.dev](https://openaitools.app/tool/boxes-dev) | [Gemini 4 Carbon (Gemini Carbon 4)](https://openaitools.app/tool/gemini-4-carbon) |
| :--- | :--- | :--- |
| Website URL | https://boxes.dev | https://deepmind.google/models/gemini/ |
| Categories | AI Agent, AI Developer Tools, AI Code Assistant, AI Copilot | Large Language Models (LLMs), AI Models, AI Code Assistant, AI Agent |
| Pricing Model | Freemium, Contact for Pricing | Freemium |
| Monthly Visits | 552 | 4,339,429 |
| MoM Growth Rate | 0% | +12.7% |
| Primary Market | Global | United States |
| Direct Visits | 159 | 899,124 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 0 | 1,420 |
| Supported Platforms | Website | Website, API |

## Boxes.dev

Boxes.dev solves a problem that appears the moment you start running more than one AI coding agent at a time: a single laptop cannot give several agents isolated filesystems, isolated ports and enough CPU at once. The product's answer is to hand each meaningful body of work its own cloud machine, called a devbox. A devbox is a real Linux computer with its own filesystem, its own processes, port forwarding back to localhost, and your development setup already installed, so several tasks can run in parallel without port collisions or resource contention.

What makes Boxes.dev distinctive is that it does not introduce a new agent harness. It runs the native Claude Code and Codex CLI you already pay for, using your existing subscription or API key — the company explicitly does not sell tokens. Onboarding is designed to be handed to the agent itself: you paste a prompt into Claude Code or Codex inside your project folder, the agent inspects your environment (env files, local databases, tooling outside the repo), drafts a setup plan, and after your approval a second agent executes the plan on a remote box. The resulting filesystem-and-memory snapshot becomes the template that all future devboxes boot from in seconds.

Operationally, agents can be started from Slack by mentioning the bot, by assigning a Linear issue, by a cron schedule, or by a single API call, and results come back where you asked for them. Devboxes sleep automatically when idle and sleeping boxes are free, which keeps parallelism from turning into runaway cost. The company positions it against Devin, Cursor and bare Claude Code/Codex setups, emphasising full cloud computers per agent, a native iOS and Android app, live session sharing for teammates, and preview URLs for running apps.

**Pricing & Plans:** Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more.

- **One cloud computer per agent:** Every meaningful task gets a fresh Linux devbox with its own filesystem, processes and ports, so parallel agents never fight over resources or collide on ports.
- **Bring your own Claude Code or Codex:** Boxes.dev runs the native harness and your existing subscription or API key — no new agent framework, and no token resale.
- **Start agents from anywhere:** Kick off work by mentioning @boxes.dev in Slack, assigning a Linear issue, scheduling a cron job, or calling the REST API, with results returned in the same channel.
- **Desktop, mobile, terminal and web clients:** Read threads, approve requests, review diffs or open a terminal on any surface, including full-featured native iOS and Android apps.
- **Sleeping devboxes are free:** Idle boxes suspend automatically and are billed by the second only while awake, keeping the cost of running many agents under control.

**Strengths:** Each agent gets a genuine isolated cloud computer rather than a worktree or sandbox on your laptop; Works with your existing Claude Code or Codex subscription, so there is no separate token bill; Agents can be triggered from Slack, Linear, cron or API, which fits existing team workflows; Idle devboxes sleep for free, and billing is per second, so parallel experiments stay affordable

**Limitations:** Usage is metered in box-hours, so heavy or long-running workloads can exceed included allowances; The free trial's 20 box-hours is enough for evaluation but not sustained daily work; Most powerful features such as SSO, audit logs and dedicated deployment sit behind custom-priced Teams plans

[Profile (Markdown)](https://openaitools.app/tool/boxes-dev.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 Boxes.dev and Gemini 4 Carbon (Gemini Carbon 4) compare in monthly traffic?

Boxes.dev has 552 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?

Boxes.dev has a month-over-month growth rate of 0%; Gemini 4 Carbon (Gemini Carbon 4) has +12.7%.

### How does pricing compare?

Boxes.dev: Freemium, Contact for Pricing. Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more. 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 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [MyClaw](https://openaitools.app/tool/myclaw) | 990,387 | -23.8% | Paid | Your always-on AI teammate, hosted and managed for you | [.md](https://openaitools.app/tool/myclaw.md) |

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

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