Claude Code, Gemini CLI, or OpenAI Codex? I get this question all the time.
All three tools have matured significantly since their respective launches. Codex has been rewritten in Rust and has over 75,000 GitHub stars. Claude Code got doubled rate limits in May 2026 and a desktop app. Gemini CLI now offers 90+ extensions and smart model routing.
The differences lie less in raw code quality (all three achieve strong SWE-bench scores) and more in architecture, pricing, and workflow. This comparison shows which tool fits your development workflow.
- SWE-bench Verified: GPT-5.5 (88.7%), Claude Opus 4.7 (87.6%), GPT-5.3-Codex (85.0%), Gemini 3 Pro (76.2%)
- Gemini CLI is free (1,000 requests/day), Claude Code and Codex start at $20/month each
- All three offer 1M token context, MCP support, autonomous work, and IDE integration
Detailed Feature Comparison: All Features at a Glance
The interactive table below shows all features, models, limits, and standards of the three CLI tools in a direct comparison. You can hide individual tools using the buttons and expand or collapse categories. Last updated May 2026.
| Feature | Claude Code | Gemini CLI | OpenAI Codex |
|---|---|---|---|
Basics(6 entries) | |||
| Manufacturer | Anthropic | OpenAI | |
| Release Date | February 2025 | June 2025 | April 2025 |
| Open Source | No | Apache 2.0 | CLI only |
| Primary Interface | Terminal (CLI) | Terminal (CLI) | Web + Terminal |
| Installation | npm i -g @anthropic-ai/claude-code | npx @google/gemini-cli | npm i -g @openai/codex |
| Operating Systems | Mac/Linux/Win | Mac/Linux/Win | Mac/Linux/Win |
Pricing & Limits(7 entries) | |||
| Base Price | $20/mo (Pro) | Free | $20/mo (Plus) |
| Premium Tier | $100/mo (Max) | API-based | $100-200/mo (Pro) |
| Free Tier | No | 1,000 req/day | No |
| API Input Cost | $3.00/1M Token | $2-4/1M Token | $2.50/1M Token |
| API Output Cost | $15.00/1M Token | $12-18/1M Token | $15.00/1M Token |
| Daily Limit (Free) | — | 1,000 requests | — |
| Prompt Caching | 90% discount | Yes | Partial |
Models & Context(8 entries) | |||
| Standard Model | Claude Sonnet 4.6 | Auto (Gemini 3) | GPT-5.4 |
| Premium Model | Claude Opus 4.7 | Gemini 3.1 Pro Preview | GPT-5.5 |
| Fast Model | Claude Haiku 4.5 | Gemini 2.5 Flash | GPT-5.4-mini |
| Model Selection | /model | --model | Settings |
| Standard Context | 1M Token | 1M Token | 1M Token (GPT-5.4) |
| Max Context | 1M (Opus 4.7) | 1M (Gemini 3 Pro) | 1M (GPT-5.4) |
| Output Limit | 128K Token | 64K Token | 32K Token |
| Reasoning Mode | Extended Think | Deep Think | Deep Thinking |
Standards & Configuration(5 entries) | |||
| Config File | CLAUDE.md | GEMINI.md | AGENTS.md |
| MCP Support | Full | Full | Partial |
| Skills/Plugins | Slash Commands | Extensions | Agent Skills |
| Custom Instructions | System Prompt | System Prompt | Custom GPTs |
| Project Context | Automatic | Automatic | Automatic |
Integration & IDE(7 entries) | |||
| Git Integration | Native | GitHub Actions | GitHub Native |
| VS Code | Extension | Companion | Extension |
| JetBrains IDEs | Plugin (Beta) | ACP Agent | Terminal |
| Cursor Support | Native | MCP | Native |
| Neovim | Plugin | Terminal | Terminal |
| Web Interface | Desktop App | No | Desktop + Web |
| API Access | Full | Full | Full |
Features & Capabilities(11 entries) | |||
| File Operations | Read/Write | Read/Write | Read/Write |
| Shell Commands | Bash/Zsh | Bash/Zsh | Sandbox |
| Code Generation | Excellent | Good | Very good |
| Refactoring | Excellent | Very good | Very good |
| Debugging | Excellent | Good | Very good |
| Test Generation | Yes | Yes | Yes |
| Code Review | /review | Yes | PR Review |
| Documentation | Automatic | Yes | Yes |
| Image Input | Screenshots | Multimodal | Vision |
| Web Search | MCP | Google Search | Plugins |
| Codebase Analysis | Full | 1M Token | Context Comp. |
Autonomy & Agents(8 entries) | |||
| Autonomous Work | Yes | Yes | Yes |
| Subagents | Native | Manual | Multi-Conv. |
| Parallel Agents | Yes | No | Yes |
| Task Planning | Automatic | ReAct Loop | Automatic |
| Checkpoints | Session | Native | Rollback |
| Context Compression | /compact | Yes | Native |
| Session Continuation | -c Flag | Yes | Yes |
| Headless/Batch | -p Flag | Headless | API |
Security & Privacy(5 entries) | |||
| Local Execution | Yes | Yes | Cloud-Sandbox |
| Permissions System | Granular | Basic | Sandbox |
| SOC 2 Compliance | Yes | Google Cloud | Yes |
| Enterprise Options | Yes | Vertex AI | Enterprise |
| Data Training | Opt-out | Opt-out | Opt-out |
Performance(3 entries) | |||
| SWE-bench Score | 87.6% | 76.2% | 85.0% |
| Response Time | 3-6 sec | 2-4 sec | Variable |
| Language Support | 20+ languages | 20+ languages | 20+ languages |
Gemini CLI: The Free Powerhouse
Gemini CLI is the only one of the three tools that's completely free. Google subsidizes access to Gemini 3 Pro including a 1 million token context window. This makes it particularly attractive for developers on a budget, students, and anyone who wants to get started without financial commitment.
The Key Features of Gemini CLI
The biggest advantage is the 1 million token context window combined with the price (free). In practice, this means Gemini CLI can keep large projects with 200+ files in context simultaneously without costing you a cent.
Since February 2026, Gemini CLI uses Auto routing (Gemini 3) by default. Simple queries go to Gemini 2.5 Flash (faster, cheaper), complex ones to Gemini 3 Pro. The premium model Gemini 3.1 Pro Preview is also available.
# Install Gemini CLI (new install command since 2026)
$ npx @google/gemini-cli
# Or install globally
$ npm install -g @google/gemini-cli
# Work in interactive mode
$ gemini
> Refactor all MongoDB queries to PostgreSQL
# Gemini analyzes the complete project
Analyzing 147 files...
Found 89 MongoDB queries to migrate
Generating PostgreSQL equivalents...The Hidden Superpowers
What gets overlooked in the documentation: Gemini CLI uses ReAct (Reason and Act) loops. The tool thinks out loud, explains its steps, and corrects itself. Like a senior developer doing pair programming with you.
Particularly impressive: the MCP (Model Context Protocol) integration. You can connect Gemini CLI with your databases, Slack, GitHub, and custom tools. On top of that, there are over 90 extensions (Figma, Stripe, Elastic, Postman, Snyk, and more) that can be plugged in directly.
Since late 2025, Gemini CLI also features checkpoints. It saves Git snapshots in a shadow repository before modifying files. If something goes wrong, you can use the /restore command to go back to the previous state.
The Price: Truly Free
Google fully subsidizes access. You get:
- 1,000 requests per day (free)
- Access to Gemini 3 Pro
- No hidden costs
If you need more, you can upgrade to Google AI Pro (1,500 requests/day) or Google AI Ultra (2,000 requests/day, $250/month).
Claude Code: Precision and Git Integration
Claude Code is the oldest of the three tools (since February 2025) and has established itself as a reliable terminal partner. With Claude Opus 4.7, it reaches 87.6% on SWE-bench Verified and offers the best native Git integration of the three.
What Sets Claude Code Apart
The key advantage? Thoughtful Git integration and reliability. Claude Code understands context, creates meaningful commit messages, groups related changes together, and can prepare pull requests. This saves time and keeps your commit history clean.
# Install Claude Code (one-time)
$ npm install -g @anthropic-ai/claude-code
# Start Claude Code
$ claude
# Analyze project
> Analyze the current project structure and tech stack
# Implement feature with natural language
> Build a newsletter signup with email validation,
> rate limiting, and Resend integration
# Claude Code:
# - Creates React component
# - Implements Zod validation
# - Builds API endpoint
# - Writes tests
# - Makes Git commits with meaningful messagesThe Technical Strength
Since April 2026, all Claude models (Sonnet 4.6, Opus 4.6, Opus 4.7) offer a 1 million token context window. Opus 4.7 delivers up to 128K token output, which matters for large-scale refactoring.
Claude Code also offers subagents for parallel work, MCP support, a desktop app for Mac and Windows, and doubled rate limits since May 2026.
The Git Integration is Well Thought Out
Claude Code understands Git at an impressive level. It:
- Creates meaningful commit messages automatically
- Groups related changes together
- Can prepare pull requests
- Understands branch strategies
# Claude Code generates this automatically:
git add src/components/Newsletter.tsx
git commit -m "feat: Add newsletter signup component with email validation
- Implement form validation using Zod
- Add rate limiting to prevent spam
- Include success/error state handling
- Add responsive design for mobile"
git add src/api/newsletter/route.ts
git commit -m "feat: Add newsletter API endpoint with email service integration"
# Logically grouped together, perfect commit historyOpenAI Codex: Three Surfaces, One Agent
OpenAI Codex has changed the most since its launch in April 2025. The CLI has been rewritten in Rust (95% of the codebase), there's a desktop app for Mac and Windows, and with GPT-5.5, Codex achieves the highest SWE-bench score of all three tools (88.7%).
What Makes Codex Different?
Codex offers three surfaces: CLI (terminal, open source), desktop app (Mac and Windows), and Codex Cloud (web at chatgpt.com/codex). While Claude Code and Gemini CLI primarily live in the terminal, Codex has the broadest platform coverage.
The key differentiator: parallel task processing in isolated cloud sandboxes. You can start multiple coding tasks simultaneously, and Codex processes them in separate containers in parallel.
# Install Codex CLI
$ npm install -g @openai/codex
# Or via GitHub integration
@codex "Implement user authentication system"
@codex "Add payment integration with Stripe"
@codex "Write comprehensive tests for API"
# All three tasks run in parallel in separate cloud containers
# Codex automatically creates pull requests for review
# Each task has its own isolated environmentThe Benchmark Results
OpenAI has continuously improved the models powering Codex. Here are the SWE-bench Verified results:
Model | SWE-bench Verified | Available Since |
|---|---|---|
| GPT-5.5 | 88.7% | April 2026 |
| GPT-5.3-Codex | 85.0% | February 2026 |
| GPT-5.4 | SWE-bench Pro: 56.8% | March 2026 |
| Claude Opus 4.7 | 87.6% | April 2026 |
| Gemini 3 Pro | 76.2% | December 2025 |
Particularly strong: the GitHub integration. Codex can automatically create pull requests, perform code reviews, process issues, and collaborate with teams via @mentions.
Pricing: Tiered by Need
Codex has been available since June 2025 starting with the ChatGPT Plus plan:
- ChatGPT Plus: $20/month (baseline usage)
- ChatGPT Pro 100: $100/month (5x more usage)
- ChatGPT Pro 200: $200/month (20x more usage)
Since April 2026, Codex uses token-based billing. If you hit your limit, you can purchase additional credits without changing plans.
Strengths by Use Case
Where does each tool have its documented strengths?
Large Codebases and Refactoring
All three now offer 1 million token context, which levels the playing field that Gemini CLI once dominated. Gemini CLI remains attractive here because its 1M context is free. Claude Code stands out with 128K token output (double what Gemini and Codex offer), which makes a difference in large refactoring jobs. Codex can run parallel tasks in separate sandboxes, which is useful for migrations across many files.
Team Workflows and Code Review
Codex has the edge here with native GitHub integration: automatic pull requests, code review via @mentions, and issue processing. Claude Code offers solid Git integration (commits, branches, PRs) but without the GitHub-specific features. Gemini CLI supports Git via GitHub Actions but is less deeply integrated.
Budget-Conscious Development
Gemini CLI is the clear choice: completely free, open source (Apache 2.0), 1,000 requests per day. No other tool comes close here. Claude Code and Codex both start at $20/month.
Autonomous Work and Agents
All three support autonomous work, but with different approaches. Claude Code uses subagents and parallel agents locally. Codex works in cloud sandboxes and can process multiple tasks completely independently in parallel. Gemini CLI offers ReAct loops and checkpoints but doesn't work in parallel.
The Limitations: What Each Tool Can't Do
No tool is perfect. Here are the real limitations you should know about:
Gemini CLI
- SWE-bench gap: At 76.2%, Gemini 3 Pro is noticeably behind Claude (87.6%) and Codex (85.0-88.7%)
- Performance fluctuations: Fast in the morning, often sluggish in the afternoon (US time)
- Debug loops: Sometimes gets stuck in endless correction attempts
- Terminal-based: No desktop app, no web interface (only VS Code Companion)
- Daily limit: 1,000 requests/day can be used up quickly in agentic mode
Claude Code
- Rate limits: Despite doubling in May 2026, still noticeable during intensive use
- Cost: $20/month for hobby projects isn't trivial
- Context compression: During long sessions, earlier discussions get compressed
- No offline option: Internet required, even for simple tasks
- Not open source: Code is viewable but under a proprietary license
OpenAI Codex
- Cloud dependency: Codex Cloud works entirely in the cloud, you only see the result
- Wait times: Cloud tasks can take minutes depending on complexity
- Costs scale: Intensive use quickly reaches $100-200/month
- No JetBrains integration yet: Only terminal support for JetBrains IDEs
Which Tool for Which Developer?
Here are the recommendations for different use cases:
Choose Gemini CLI if you...
- Have a tight budget (students, freelancers starting out)
- Work with large codebases (100+ files)
- Are a terminal power user
- Find open source important
- Are eager to experiment (MCP, extensions, custom tools)
- Want maximum control
Choose Claude Code if you...
- Need native Git integration (commits, PRs, branches)
- High benchmark results matter (87.6% SWE-bench)
- Need maximum output (128K tokens)
- Work on small to medium projects
- Can afford $20/month
- Need consistent performance
Choose OpenAI Codex if you...
- Work in a team with GitHub-centric workflows
- Need automatic pull requests and code review
- Want parallel task processing in cloud sandboxes
- Need the highest benchmark results (GPT-5.5: 88.7%)
- Prefer a desktop app and web interface
- Have budget for $20-200/month
My Recommendation
The honest answer: there's no clear winner anymore. All three tools have improved massively in 2026, and their benchmark scores are close together.
For most developers, I'd recommend starting with Gemini CLI (free, no risk) and adding Claude Code or Codex as needed. If you already have ChatGPT Plus or an Anthropic Pro account, you can use the respective tool at no additional cost.
My setup: I use Claude Code as my main tool because the Git integration and reliability fit my workflow. For quick experiments or when I hit the rate limit, I switch to Gemini CLI. I use Codex for GitHub-based team tasks.
The most important takeaway: all three tools are good enough for professional development. Choose the tool that fits your workflow and budget, not the one with the highest benchmark number.
