AI dev tool power rankings & comparison [Feb. 2026] - LogRocket Blog

Which AI frontend dev tech reigns supreme? This post is here to answer that question. We’ve put together a comparison engine to help you evaluate AI models and tools side-by-side, produced an updated power rankings to show off the highest performing tech of February 2026, and conducted a thorough analysis across 50+ features to help spotlight the best models/tools for every purpose.

We’ve separately ranked AI models and AI-powered development tools. A quick refresher on how to distinguish these:

• AI models are the underlying language models that provide the intelligence behind coding assistance (accessed through APIs or web interfaces), while
• AI tools are comprehensive development environments that integrate AI capabilities into your workflow, featuring specialized features and user interfaces.

In this edition, we’re comparing 15 AI models and 12 development tools — our most comprehensive analysis yet, including new additions from Claude and Kimi by Moonshot.

Click the links below for LogRocket deep dives on select tools and models:

AI models:

• Claude 4.5 Opus
• Claude 4.6 Opus
• Claude Sonnet 4
• Claude Sonnet 4.5
• DeepSeek Coder
• Gemini 2.5 Pro
• Gemini 3 Pro
• GLM-4.6
• GPT-5
• GPT-5.2
• Grok 4
• Kimi K2
• Kimi K2.5
• Llama 4 Maverick
• Qwen 3 Coder

AI development tools:

• Antigravity
• Bolt.new
• Claude Code
• Codex AI
• Cursor
• Gemini CLI
• GitHub Copilot
• JetBrains AI
• Kimi Code
• Lovable AI
• Vercel v0
• Windsurf

Let’s dive in!

How we ranked these AI platforms

We ranked these tools using a holistic scoring approach. This was our rating system:

1. Technical performance (30%)
   • SWE-bench scores as the primary benchmark
   • Total context window sizes
   • Context window output
   • Feature completeness across development capabilities
2. Practical usability (25%)
   • Modern web development features (voice input, multimodal capabilities)
   • Quality and optimization tools
   • Workflow integration capabilities
3. Value proposition (25%)
   • Price-to-performance ratios
   • Free tier availability
   • Open source licensing and self-hosting options
4. Accessibility and deployment (20%)
   • Enterprise features and privacy options
   • Availability and access restrictions
   • IDE integration quality

Key February rankings updates

Here are the biggest changes in the rankings this month — and the factors that contributed to the shake-up:

AI model rankings

February 2026 saw the introduction of some big-name models that leapt towards the top of the rankings:

• Claude 4.6 Opus (#1) 🆕 debuts as the new technical leader with 80.8% SWE-bench score, a 1M context window (beta) — a first for Opus-class models — and 128K output.
• Claude 4.5 Opus (#2) ⬇️ drops to second, giving way to its successor, although it still holds the highest SWE-bench score at 80.9%.
• Kimi K2.5 (#3) 🆕 enters the rankings with 76.8% SWE-bench as the strongest open-source model, featuring full video processing, native multimodal capabilities, and the groundbreaking Agent Swarm feature.

AI tool rankings

For the tools ranking, we have prioritized comprehensive workflow integration and value proposition, with free offerings and unique capabilities taking precedence.

In February 2026, there was no great introduction to AI tools, hence they all maintained their position from last month’s ranking:

• Windsurf (#1) ⬆️ claims the top spot with Wave 13’s groundbreaking features. Arena Mode enables side-by-side model comparison with hidden identities and voting. Plan Mode adds smarter task planning.
• Cursor IDE (#3) ↔️ maintains its position with Cursor 2.0’s new Composer model (4x faster), multi-agent interface supporting up to eight agents in parallel, and Plan Mode for editable Markdown plans. At Free-$200, it remains the premium choice for teams prioritizing maximum productivity.
• Kimi Code (#4) 🆕 debuts as the companion tool to Kimi K2.5, bringing open-source agentic coding to the terminal with IDE integration for VSCode, Cursor, and Zed.

Power rankings: AI models – February 2026

Our February 2026 power rankings highlight AI models that either recently hit the scene or released a major update in the past two months.

1. Claude 4.6 Opus – The Technical Leader 🆕

Previous ranking – New entry

Performance summary: Claude 4.6 Opus debuts with a 1M context window (beta), which is a first for Opus-class models, with 128K output enabling complex long-form tasks. Agent Teams, adaptive thinking, and effort controls provide unprecedented agentic capabilities.

2. Claude 4.5 Opus – The new performance leader ⬇️

Previous ranking – 1

Performance summary: Claude 4.5 Opus drops to #2, giving way to its predecessor, although it still ranks the highest SWE-bench score at 74.4%, narrowly edging Gemini 3 Pro (74.2%). Its 200K context window with 64K output, enhanced tool use, and best-in-class autonomous agent capabilities make it the coding performance champion. At $5/$25 pricing (67% cheaper than Claude 4 Opus), it delivers frontier intelligence at a more accessible price point. Its lack of a free tier limits broader adoption.

3. Kimi K2.5 – The Open-Source Revolution 🆕

Previous ranking – New entry

Performance summary: Kimi K2.5 debuts at #3 with very decent open-source accessibility, yet offers full video processing, native multimodal capabilities, and the groundbreaking Agent Swarm feature, enabling up to 100 sub-agents with 1,500 tool calls. With Modified MIT licensing, self-hosting options, and great pricing.

4 Gemini 3 Pro – The multimodal powerhouse ⬇️

Previous ranking – 3

Performance summary: Gemini 3 Pro drops to third with its 74.2% SWE-bench score now narrowly surpassed by Claude 4.5 Opus. However, its 1M context window, full video processing capability (unique among most models), 24-language voice input, and $2-4/$12-18 pricing with a free tier make it the most complete multimodal package. It’s still unbeatable for developers needing video and voice capabilities.

5. GPT-5.2 – The balanced performer ⬇️

Previous ranking – 4

Performance summary: GPT-5.2 drops to #5 with 69% SWE-bench and the largest context window among new entries at 400K tokens with 128K output. Full video processing, native voice/audio input, and $1.75/$14 pricing with a free tier deliver strong value. Enhanced multimodal capabilities and 50-90% batch/caching discounts make it ideal for enterprise workflows requiring massive context.

Our February 2026 power rankings highlight AI development tools that either recently hit the scene or released a major update in the past two months. But for this month, they all maintained their features and position.

1. Windsurf – The agentic workflow champion ⬆️

Previous ranking – 2

Performance summary: Windsurf claims the top spot with Wave 13’s groundbreaking features. Arena Mode enables side-by-side model comparison with hidden identities and voting, letting developers discover which models actually work best for their workflow. Plan Mode adds smarter task planning before code generation. First-class parallel multi-agent sessions with Git worktrees and side-by-side Cascade panes enable true concurrent development. Claude Opus 4.6 (fast mode) is available with promotional pricing. At Free-$60 with full IDE capabilities, live preview, collaborative editing, and the Cascade AI agent, it now offers the most complete agentic development experience.

2. Antigravity – The free disruptor ↔️

Previous ranking – 1

Performance summary: Antigravity drops to second despite maintaining its revolutionary free pricing during preview. Its unique multi-agent orchestration and integrated Chrome browser automation remain unmatched, and it supports Gemini 3 Pro, Claude Sonnet 4.5/Opus 4.5, and GPT-OSS models.

3. Cursor IDE – The premium powerhouse ↔️

Previous ranking – 3

Performance summary: Cursor 2.0 maintains its position with the new Composer model (4x faster than competitors), a redesigned multi-agent interface supporting up to eight agents in parallel, and Plan Mode for editable Markdown plans. The visual editor bridges design and code, while enterprise features include shared transcripts, granular billing, and Linux sandboxing. At Free-$200, it remains the premium choice for teams prioritizing maximum productivity, though Windsurf’s lower pricing and comparable features challenge its value proposition.

4. Kimi Code – The open source coder 🆕

Previous ranking – New entry

Performance summary: Kimi Code debuts as the companion tool to Kimi K2.5, bringing open-source agentic coding to the terminal with IDE integration for VSCode, Cursor, and Zed. It supports images and videos as inputs for visual debugging, auto-discovers and migrates existing skills and MCPs, and leverages K2.5’s Agent Swarm capabilities. Open-source licensing and integration with one of the best-value models make it highly attractive for cost-conscious teams.

5. Claude Code – The quality-first professional tool ↔️

Previous ranking – 5

Performance summary: Claude Code maintains excellence with new Agent Teams (research preview). This functionality enables multi-agent collaboration, Opus 4.6 support with 1M context (beta), automatic memory recording, and context compaction for longer sessions. Its comprehensive browser compatibility checks and performance optimization remain best-in-class, though $20-$200 pricing with no free tier limits accessibility.

Having a hard time picking one model or tool over another? Or maybe you have a few favorites, but your budget won’t allow you to pay for all of them.

We’ve built this comparison engine to help you make informed decisions.

How it works

Simply select between two and four AI technologies you’re considering, and the comparison engine instantly highlights their differences.

This targeted analysis helps you identify which tools best match your specific requirements and budget, ensuring you invest in the right combination for your workflow.

The comparison engine analyzes 27 leading AI models and tools across specific features, helping developers choose based on their exact requirements rather than subjective assessments. Most comparisons rate the AI capabilities in percentages and stars, but this one informs you of specific features each AI has over another.

Pro tip: No single tool dominates every category, so choosing based on feature fit is often the smartest approach for your workflow.

Looking at the updated ranking we just created, here’s how the tools stack up:

Comparison tables: How these AI models and tools stack up

If you’re more of a visual learner, we’ve also put together tables that compare these tools across different criteria. Rather than overwhelming you with all 50+ features at once, we’ve grouped them into focused categories that matter most to frontend developers.

AI model comparison tables

This section evaluates the core AI models that power development workflows. These are the underlying language models that provide the intelligence behind coding assistance, whether accessed through APIs, web interfaces, or integrated into various development tools. We compare their fundamental capabilities, performance benchmarks, and business considerations across 50+ features.

Development capabilities and framework support

This table compares core coding features and framework compatibility across AI development tools amongst AI models.

Key takeaway – The SWE-bench leaderboard maintains its leader, Claude Opus 4.5 at 74.4%. Context windows remain competitive with Gemini 3 Pro’s 1M matching GPT -4.1/Gemini 2.5 Pro, though Llama 4 Scout’s 10M still dominates for large codebases:

Feature	Claude 4.5 Opus	Claude 4.6 Opus 🆕	Claude 4 Sonnet	Claude Sonnet 4.5	DeepSeek Coder	Gemini 2.5 Pro	Gemini 3 Pro	GLM-4.6 🆕	GPT-5	GPT-5.2	Grok 4	Kimi K2	Kimi K2.5 🆕	Llama 4 Maverick	Qwen 3 Coder
Real-time code completion	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Multi-file editing	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Design-to-code conversion	✅	✅	✅	✅	Limited	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
React component generation	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Vue.js support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Angular support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
TypeScript support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Tailwind CSS integration	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Total Context Window	200K	1M	200K	200K	128K	1M	1M	200K	400K	400K	256K	128K	256K	10M (Scout) / 256K (Maverick)	256K-1M
SWE-bench Score	74.4%	Incoming	64.93%	70.6%	❌	53.60%	74.2%	55.4%	65%	69%	❌	43.80%	Incoming	❌	55.40%
Semantic/deep search	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	Limited
Autonomous agent mode	✅	✅	✅	✅ (Best-in-class)	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Extended thinking/reasoning	✅	✅	✅ (Hybrid)	✅ (Hybrid)	✅	✅	✅	✅	✅	✅	✅ (Always-on)	✅	✅	✅	✅
Tool use capabilities	✅	✅	✅	✅ (Enhanced)	✅	✅	✅	✅	✅	✅	✅ (Native)	✅	✅	✅	✅

Quality and optimization features

This table compares code quality, accessibility, and performance optimization capabilities across tools amongst AI models.

Key takeaway – Claude 4.6 Opus leads with best-in-class code review and debugging capabilities, plus enhanced cybersecurity detection. Kimi K2.5 matches most quality features but has limited bundle size analysis:

Feature	Claude 4.5 Opus	Claude 4.6 Opus 🆕	Claude 4 Sonnet	Claude Sonnet 4.5	DeepSeek Coder	Gemini 2.5 Pro	Gemini 3 Pro	GLM-4.6	GPT-5	GPT-5.2	Grok 4	Kimi K2	Kimi K2.5 🆕	Llama 4 Maverick	Qwen 3 Coder
Responsive design generation	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Accessibility (WCAG) compliance	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Performance optimization suggestions	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Bundle size analysis	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	Limited	Limited	✅	✅
SEO optimization	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Error debugging assistance	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Code refactoring	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Browser compatibility checks	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Advanced reasoning mode	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅ (Always-on)	✅	✅	✅	✅
Code review capabilities	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Security/vulnerability detection	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Code quality scoring	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Architecture/design guidance	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Test generation	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Code style adherence	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅

Modern web development features

This table compares support for contemporary web standards like PWAs, mobile-first design, and multimedia input amongst AI models.

Key takeaway – In February, Kimi K2.5 joins Gemini models with full native video processing capabilities, thanks to its vision-text joint pretraining:

Feature	Claude 4.5 Opus	Claude 4.6 Opus 🆕	Claude 4 Sonnet	Claude Sonnet 4.5	DeepSeek Coder	Gemini 2.5 Pro	Gemini 3 Pro	GLM-4.6	GPT-5 (medium reasoning)	GPT-5.2	Grok 4	Kimi K2	Kimi k2.5 🆕	Llama 4 Maverick	Qwen 3 Coder
Mobile-first design	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Dark mode support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Internationalization (i18n)	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅ (200 langs)	✅
PWA features	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Offline capabilities	✅	✅	✅	✅	✅	Limited	✅	Limted	✅	✅	✅	Limited	Limited	✅	✅
Voice/audio input	Limited	Limited	✅	✅	Limited	✅ (24 langs)	✅	✅	✅	✅	✅	✅	✅	Limited	Limited
Image/design upload	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅ (up to 8-10)	✅
Video processing	Limited	Limited	Limited	Limited	Limited	✅ (Full)	✅	✅	Basic	✅	Limited	Limited	✅	Limited	Limited
Multimodal capabilities	✅	✅	✅	✅	Limited	✅ (Native)	✅	✅	✅	✅	✅	✅	✅	✅ (Native, Early Fusion)	Limited

Business and deployment considerations

This table compares pricing models, enterprise features, privacy options, and deployment flexibility amongst AI models.

Key takeaway – GLM-4.6 joins the open-source value leaders with MIT licensing at $0.35/$0.39 per 1M tokens, competing directly with Qwen 3 Coder and DeepSeek Coder ($0.07-1.10). Gemini 2.5 Pro, Gemini 3 Pro, and GPT-5 remain the best premium value at $1.25/$10. Claude 4.5 Opus stays the most expensive at $15/$75, without a free tier. GLM-4.6 offers self-hosting and custom model training, expanding enterprise deployment options:

Feature	Claude 4.5 Opus	Claude 4.6 Opus 🆕	Claude 4 Sonnet	Claude Sonnet 4.5	DeepSeek Coder	Gemini 2.5 Pro	Gemini 3 Pro	GLM-4.6	GPT-5.2	GPT-5 (medium reasoning)	Grok 4	Kimi K2	Kimi K2.5 🆕	Llama 4 Maverick	Qwen 3 Coder
Free tier available	❌	❌	✅	✅	✅	✅	✅	✅	✅	✅	✅ (Limited)	✅	✅	✅	✅
Open source	❌	❌	❌	❌	✅	❌	❌	✅	❌	❌	❌	Partial	✅	✅ (Apache 2.0)	✅
Self-hosting option	❌	❌	❌	❌	✅	❌	❌	✅	❌	❌	❌	✅	✅	✅	✅
Enterprise features	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Privacy mode	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Custom model training	❌	❌	❌	❌	✅	Limited	Limited	✅	✅	✅	❌	❌	✅	✅	✅
API Cost (per 1M tokens)	$5/$25	$5/$25 (standard) / $10/$37.50 (>200K tokens)	$3/$15	$3/$15	$0.07-1.10	$1.25/$10	$2/$12 (<200k tokens) $4/$18 (>200k tokens)	$0.35/$0.39	$1.75/$14	$1.25/$10	$3/$15	$0.15/$2.50	$0.60/$2.00	$0.19-0.49 (estimated)	$0.07-1.10
Max Context Output	64K	128K	64K	64K	8.2K	65K	64K	128K	128K	128K	256K	131.1K	64K	256K	262K
Batch processing discount	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅ (50%)	❌	✅	✅	✅	✅
Prompt caching discount	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅ (90%)	❌	✅	✅	✅	✅

AI tool comparison tables

This section focuses on complete development environments and platforms that integrate AI capabilities into your workflow. These tools combine AI models with user interfaces, IDE integrations, and specialized features designed for specific development tasks. We evaluate their practical implementation, workflow integration, and user experience features.

Development capabilities and framework support (tools)

This table compares core coding features and framework compatibility across development tools.

Key takeaway – Kimi Code joins Antigravity, Gemini CLI, and Claude Code in offering comprehensive WCAG compliance and browser compatibility checks. Bundle size analysis remains unavailable across all 12 tools:

Feature	GitHub Copilot	Cursor	Windsurf	Vercel v0	Bolt.new	JetBrains AI	Lovable AI	Gemini CLI	Claude Code	Codex	Kimi Code 🆕	AntiGravity
Real-time code completion	✅	✅	✅	❌	✅	✅	✅	Limited	✅	✅	✅	✅
Multi-file editing	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅	✅
Design-to-code conversion	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
React component generation	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Vue.js support	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅	✅
Angular support	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅	✅
TypeScript support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Tailwind CSS integration	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Native IDE integration	✅	✅ (Full IDE)	✅ (Full IDE)	❌	❌	✅ (Full IDE)	❌	✅ (CLI)	✅ (CLI )	✅ (CLI )	✅	✅ (Full IDE)

Quality and optimization features (tools)

This table compares code quality, accessibility, and performance optimization capabilities across tools.

Key takeaway – Only Windsurf, Gemini CLI, and Cursor offer voice capabilities. Offline capabilities remain rare; only JetBrains AI and Lovable AI provide this:

Feature	GitHub Copilot	Cursor IDE	Windsurf	Vercel v0	Bolt.new	JetBrains AI	Lovable AI	Gemini CLI	Claude Code	Codex	Kimi Code 🆕	AntiGravity
Responsive design generation	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Accessibility (WCAG) compliance	✅	✅	Limited	✅	❌	❌	Limited	✅	✅	✅	Limited	✅
Performance optimization suggestions	✅	✅	✅	❌	❌	✅	Limited	✅	✅	✅	✅	✅
Bundle size analysis	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌
SEO optimization	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	Limited	✅
Error debugging assistance	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Code refactoring	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Browser compatibility checks	❌	❌	❌	❌	❌	❌	Limited	✅	✅	Limited	Limited	✅
Autonomous agent mode	Limited	✅	✅	❌	Limited	Limited	✅	✅	✅	✅	✅	✅

Modern web development features (tools)

This table compares support for contemporary web standards and multimedia input across development tools.

Key takeaway – Windsurf and Gemini CLI still stand out with voice/audio input, a rare feature among development tools. Offline capabilities remain largely unsupported—only JetBrains AI and Lovable AI provide this functionality:

Feature	GitHub Copilot	Cursor IDE	Windsurf	Vercel v0	Bolt.new	JetBrains AI	Lovable AI	Gemini CLI	Claude Code	Codex	Kimi Code 🆕	AntiGravity
Mobile-first design	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Dark mode support	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅	✅
Internationalization (i18n)	✅	✅	❌	❌	❌	❌	Limited	✅	✅	Limited	✅	✅
PWA features	✅	✅	❌	❌	❌	❌	✅	✅	✅	Limited	Limited	✅
Offline capabilities	❌	❌	❌	❌	❌	✅	✅	❌	❌	❌	❌	❌
Voice/audio input	❌	✅	✅	❌	❌	❌	❌	✅	❌	❌	❌	❌
Image/design upload	✅	✅	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅
Screenshot-to-code	Limited	✅	✅	✅	✅	❌	✅	✅	✅	Limited	✅	✅
3D graphics support	Limited	Limited	Limited	Limited	Limited	Limited	Limited	Limited	Limited	Limited	Limited	✅

Development workflow integration

This table compares version control, collaboration, and development environment integration features.

Key takeaway – Antigravity, Windsurf, Vercel v0, Bolt.new, and Lovable AI with live preview/hot reload capabilities. Collaborative editing remains limited to GitHub Copilot, Windsurf, and Lovable AI. Git integration is now standard across 11 of 12 tools (except Vercel v0):

Feature	GitHub Copilot	Cursor IDE	Windsurf	Vercel v0	Bolt.new	JetBrains AI	Lovable AI	Gemini CLI	Claude Code	Codex	Kimi Code 🆕	AntiGravity
Git integration	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅	✅
Live preview/hot reload	❌	❌	✅	✅	✅	❌	✅	❌	❌	❌	❌	✅
Collaborative editing	✅	❌	✅	❌	❌	❌	✅	❌	❌	❌	❌	❌
API integration assistance	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅	✅
Testing code generation	✅	✅	✅	❌	❌	✅	❌	✅	✅	✅	✅	✅
Documentation generation	✅	✅	✅	❌	❌	✅	✅	✅	✅	✅	✅	✅
Search	✅	✅	✅	❌	❌	✅	❌	✅	✅	✅	✅	✅
Terminal integration	Limited	✅	✅	❌	✅	✅	❌	Limited	✅	✅	✅	✅
Custom component libraries	✅	✅	❌	✅	❌	❌	✅	Limited	✅	Limited	✅	✅

Business and deployment considerations (tools)

This table compares pricing models, enterprise features, privacy options, and deployment flexibility.

Key takeaway –Antigravity disrupts the market as completely free during preview with no paid tier yet, joining Gemini CLI as the only zero-cost options. Gemini CLI and Kimi Code remain the sole open-source tools with self-hosting capabilities:

Feature	GitHub Copilot	Cursor IDE	Windsurf	Vercel v0	Bolt.new	JetBrains AI	Lovable AI	Gemini CLI	Claude Code	Codex	Kimi Code	AntiGravity
Free tier available	✅	✅	✅	✅	✅	✅	✅	✅	❌	✅	✅	✅
Open source	❌	❌	❌	❌	Partial	❌	❌	✅	❌	❌	✅	❌
Self-hosting option	❌	Privacy mode	❌	❌	✅	✅	Limited	✅	❌	❌	✅	❌
Enterprise features	✅	✅	✅	✅	❌	✅	✅	✅	✅	✅	✅	⚠️ (Coming soon)
Privacy mode	✅	✅	✅	❌	❌	✅	✅	✅	✅	✅	✅	✅
Custom model training	✅	❌	❌	❌	❌	❌	❌	❌	❌	❌	✅	❌
Monthly Pricing	Free-$39	Free-$200	Free-$60	$5-$30	Beta	Free-Custom	Free-$30	Free	$20-$200	$20-$200	Free-$0.15	Free
Enterprise Pricing	$39/user	$40/user	$60/user	Custom	Custom	Custom	Custom	Custom	Custom	Custom	Custom	TBD

Conclusion

With AI development evolving at lightning speed, there’s no one-size-fits-all winner, and that’s exactly why tools like our comparison engine matter. By breaking down strengths, limitations, and pricing across the leading AI models and development platforms, you can make decisions based on what actually fits your workflow, not just hype or headline scores.

Whether you value raw technical performance, open-source flexibility, workflow integration, or budget-conscious scalability, the right pick will depend on your priorities. And as this month’s rankings show, leadership can shift quickly when new features roll out or pricing models change.

Test your top contenders in the comparison engine, match them to your needs, and keep an eye on next month’s update. We’ll be tracking the big moves so you can stay ahead.

Until then, happy building.