ChatGPT Codex Review (May 2026): GPT-5.5 Backbone Leads Terminal-Bench 83.4% — Better Than Claude Code?

This ChatGPT Codex review tests the May 2026 reality of OpenAI’s full-stack software engineering agent — the product that grew from a research preview in May 2025 into a production-grade coding tool that now leads Terminal-Bench 2.1 and sits within 0.1 percentage points of Claude Opus 4.8 on SWE-bench Verified. The headline question for buyers in May 2026 isn’t “is Codex good” (the GPT-5.5 backbone made it competitive at the top tier) but “in a coding-agent market with Claude Code at $20, Gemini CLI free, and Antigravity 2.0 building toward agentic platforms, what’s the workload fit for Codex specifically.” This review rebuilds the answer for the May 2026 reality.

I’ve been using Codex continuously since the May 2025 research preview and ran the May 2026 GPT-5.5 backbone through the same test suite used for the comparable reviews of Claude Code, Gemini CLI, and Antigravity. This rebuild reflects the May 30, 2026 product state.

The Bottom Line (May 2026)

The honest ChatGPT Codex review verdict for May 2026: Codex on GPT-5.5 is now a top-tier coding agent — leads Terminal-Bench 2.1 at 83.4%, ties Claude Opus 4.8 on SWE-bench Verified within 0.1 points, and ships bundled with the $20 ChatGPT Plus subscription that most knowledge workers already pay for. For intent-driven single-file tasks, Codex CLI is the strongest pick in the market. For complex multi-file refactoring across large codebases, Claude Code still edges ahead. For monorepo-context work where you need to hold an entire codebase in a single conversation, Gemini CLI’s 1M+ token window wins. The honest framing: if you’re already a ChatGPT Plus subscriber, Codex is the effectively-free coding agent you should default to and only upgrade to Claude Code or Gemini CLI when your workload specifically benefits from their structural advantages.

⏱️ What Just Happened (February to May 2026)

The source post captured Codex at the GPT-5.3-Codex moment in February 2026. The May 2026 picture shows meaningful model + benchmark + integration progress:

• GPT-5.5 backbone replaced GPT-5.3-Codex. The current Codex model uses the same GPT-5.5 architecture that powers the broader ChatGPT Plus tier — better reasoning, lower hallucination rates, improved instruction adherence over GPT-5.3.
• SWE-bench Verified: 88.7%. Up from GPT-5.3-Codex’s 85%. Essentially tied with Claude Opus 4.8 (88.6%) at the production top tier. Claude Mythos Preview leads at 93.9% but isn’t production-available.
• Terminal-Bench 2.1: 83.4% (LEADER). Codex CLI on GPT-5.5 leads the terminal-autonomy benchmark by a meaningful margin over Claude Code (78.9% on Opus 4.8) and Gemini CLI (70.7% on Gemini 3.1 Pro). For pure CLI workflows, Codex is now the benchmark leader.
• Codex CLI matured. The standalone open-source MIT-licensed terminal version got more reliable, better tool-use behavior, and improved git-aware workflows. Free-standing — installable with one command, no ChatGPT subscription required (though Plus subscribers get more usage).
• GPT-5.5 Pro variant available in Pro tiers. Codex Pro on $100/$200 ChatGPT Pro tiers gets access to GPT-5.5 Pro with extended thinking — closes more of the hardest reasoning gap to Opus 4.8.
• Desktop Superapp integration announced March 2026. OpenAI plans to integrate Codex + Atlas browser + ChatGPT into a single desktop application. No firm ship date as of May 2026, but the strategic direction is clear: Codex becomes a workflow surface inside the broader OpenAI desktop product.
• Cloud agent capability expanded. Codex can spin up cloud sandboxes for long-running tasks (similar to Cursor 3.5 Cloud Agents). Useful for heavy refactoring and multi-step builds.
• Bundling unchanged. Codex remains bundled into ChatGPT Plus ($20/month) — no separate Codex subscription. Pro tiers get higher usage limits and access to GPT-5.5 Pro variant.

The single most important shift for the ChatGPT Codex review buying decision is the Terminal-Bench leadership. For CLI-first coding workflows — which is where most serious developer use of agentic coding tools happens — Codex CLI on GPT-5.5 is now the benchmark leader, not Claude Code. The honest qualifier: benchmark wins don’t always match practical workflow wins, and Claude Code’s edge on complex multi-file refactoring is still real and important. Both wins coexist.

🤖 What ChatGPT Codex Actually Is (May 2026)

The ChatGPT Codex review starting point: ChatGPT Codex is OpenAI’s full-stack software engineering agent — built to autonomously handle the kind of multi-step coding work that used to require a developer’s full attention. The product comes in four surfaces, each fitting different workflow styles:

1. Codex in ChatGPT (web/desktop). Accessible from chat.openai.com and the ChatGPT desktop app. The most accessible entry point. You describe the coding task, Codex executes it in a sandboxed environment, you review the output. Bundled with ChatGPT Plus subscription.
2. Codex CLI (terminal). Standalone open-source MIT-licensed command-line tool. Install with one command, point it at a repo, give it tasks. Same model and tooling pattern as web Codex, designed for developers who prefer terminal-first workflows. Free-standing — works without a ChatGPT subscription, though Plus subscribers get higher usage limits.
3. Codex API. Per-token developer access through the OpenAI API for embedding Codex capabilities into your own applications, CI/CD pipelines, or internal tooling. OpenAI-compatible interface.
4. Codex Cloud Agent. Spin up a cloud sandbox for long-running coding tasks — multi-hour refactoring, large-scale codebase analysis, autonomous PR-based workflows. Pro-tier feature. Comparable to Cursor 3.5 Cloud Agents and Antigravity’s Managed Agents.

For the broad ChatGPT Codex review question — “should I use it?” — surfaces 1 and 2 are the value drivers for most developers. Codex in ChatGPT is the right entry point for non-CLI users; Codex CLI is the right entry point for terminal-first developers. The API (surface 3) matters only if you’re embedding Codex into your own product. The Cloud Agent (surface 4) is the experimental frontier — impressive when it works on the right kind of task, less consistent than the dedicated agentic IDE alternatives.

📊 The Benchmark Position (May 2026)

Coding agents live and die by benchmarks more than most AI tool categories — buyers want to know “is the model actually good enough” before adopting. The May 2026 benchmark picture for Codex is strong but nuanced.

SWE-bench Verified (Production Models)

• Claude Mythos Preview (Anthropic): 93.9% — leader but not production-available
• Claude Opus 4.8: 88.6% — current production top tier
• ChatGPT Codex (GPT-5.5): 88.7% — essentially tied with Opus 4.8 (within 0.1 points)
• Claude Opus 4.7: 87.6% — previous production leader
• GPT-5.3 Codex (historical): 85% — Codex’s February 2026 number
• Gemini 3.1 Pro: 75% — meaningful gap to the top tier

Codex’s 88.7% places it essentially tied with Claude Opus 4.8 for the production top spot on SWE-bench Verified. The 0.1 percentage point gap is within typical benchmark variance — for practical purposes, both tools are at the same quality tier on this benchmark.

Terminal-Bench 2.1 (CLI Workflows)

• Codex CLI on GPT-5.5: 83.4% (LEADER)
• Claude Code on Opus 4.8: 78.9%
• Gemini CLI on Gemini 3.1 Pro: 70.7%

The Terminal-Bench leadership is the most consequential 2026 development for Codex. For CLI-first coding workflows — which is where most serious developer agentic coding happens — Codex CLI now has the strongest benchmark position. The 4.5-point lead over Claude Code is meaningful at this tier.

The Benchmark Caveat

Benchmark wins don’t always match practical workflow wins. SWE-bench Verified measures correctness on curated GitHub issues — typically single-file or small-multi-file scope. Terminal-Bench measures terminal-autonomous task completion. Neither benchmark directly measures the workload class where Claude Code’s structural advantage shows up: complex multi-file refactoring across large codebases where the model needs to hold and reason about deep architectural context. Both benchmark wins (Codex on Terminal-Bench + tied on SWE-bench) and Claude Code’s practical multi-file edge can be true simultaneously.

💰 Codex Pricing (May 2026)

The cleanest part of the ChatGPT Codex review story: there’s no separate Codex subscription. The product is bundled into the broader ChatGPT pricing structure, which means if you’re already a ChatGPT Plus subscriber, Codex is effectively free at the margin.

Three pricing observations matter most for the ChatGPT Codex review buying decision. First: Codex CLI free-standing (MIT open source, no login required) is the most accessible coding agent on the market — install with one command, no subscription needed, rate-limited but enough for sampling and light use. Second: ChatGPT Plus at $20/month gets you Codex bundled with the broader ChatGPT product family (GPT-5.5 chat, Sora 2, Custom GPTs, Voice Mode, Agent Mode) — for the same $20 you’d pay for Claude Pro to access Claude Code, you get a much bigger feature surface. Third: the new $100 Pro tier (April 2026) unlocks GPT-5.5 Pro for Codex with extended thinking — meaningful improvement on the hardest coding problems where the standard GPT-5.5 trails Opus 4.8.

⚖️ Codex vs Claude Code vs Gemini CLI (May 2026)

The honest competitive frame for the ChatGPT Codex review: this is a three-way race where each tool has a structural edge nobody else easily matches. Codex CLI leads Terminal-Bench. Claude Code leads complex multi-file refactoring. Gemini CLI leads monorepo-context work. At the $20/month tier (Plus, Pro, AI Pro), they’re all credible flagships of agentic coding.

The pattern: each tool wins on a different axis. Codex earns its place on Terminal-Bench leadership, accessibility (free CLI), and bundling with the broader ChatGPT subscription most developers already pay for. Claude Code earns its place on multi-file refactoring quality, careful reasoning, and the productivity gains the most-experienced developers report. Gemini CLI earns its place on the 1M+ token monorepo context and Google ecosystem developers’ workflow fit. The right pick depends on what your typical day actually looks like.

🚀 Getting Started With Codex (10 Minutes)

Install Codex CLI (Terminal-First Path)

The fastest path to trying Codex is the standalone CLI. Run the install command from your terminal, optionally log in with your OpenAI account for higher usage limits, then point it at a repo. The standalone install requires no ChatGPT subscription — usage is rate-limited but enough for sampling. If you already have a ChatGPT Plus subscription, login during install lifts the limits to Plus-tier capacity.

Your First Task

A working pattern that produces good Codex output: be specific about the task scope, the constraints, and the format you want. Vague briefs produce vague output. A useful starting brief looks like: “You’re working in this Next.js + Supabase repo. Add a ‘bookmark this article’ feature: add a Postgres table via Supabase migration, an API route for create/delete/list, and a React UI component that fits our existing design language. Use TypeScript strict mode. Don’t add new dependencies without flagging. When you’re done, run our existing test suite and report results.” The more specific the brief, the more consistent the output.

Web Interface Alternative

If you prefer working in a web interface rather than terminal, Codex in ChatGPT (chat.openai.com or the desktop app) gives you the same engineering agent capabilities through the familiar chat UI. Less natural for git-aware workflows than the CLI, but easier for developers who don’t live in the terminal. Both surfaces use the same GPT-5.5 backbone.

🔑 Features That Actually Matter

Terminal-Bench Leadership (CLI Workflows)

Codex CLI on GPT-5.5 leads Terminal-Bench 2.1 at 83.4% — the strongest benchmark position among the major CLI coding agents. For pure terminal workflows where you describe a task and let the agent execute it autonomously, Codex is now the leader by a meaningful margin over Claude Code (78.9%) and Gemini CLI (70.7%). The Terminal-Bench leadership is the headline reason Codex is getting renewed serious attention from CLI-first developer audiences in 2026.

Bundled With ChatGPT Plus (Effective $0 Marginal Cost)

Codex doesn’t require a separate subscription — it’s bundled into ChatGPT Plus at $20/month. For the majority of developers who already pay for ChatGPT for general AI work, Codex is effectively free at the margin. Compare to Claude Code, which requires Claude Pro at $20/month as a separate subscription on top of whatever you pay for your default chatbot. The bundling math: ChatGPT Plus at $20 includes Codex + GPT-5.5 chat + Sora 2 + Custom GPT creation + Voice Mode + Atlas browser integration — substantially broader value than Claude Pro at the same price.

Open-Source MIT-Licensed CLI

The Codex CLI standalone is open-source MIT-licensed — installable without any ChatGPT subscription, free to use with rate limits, and (importantly) auditable. For teams whose procurement or security policies prefer open-source tools, Codex CLI clears that bar in a way Claude Code doesn’t (Claude Code is proprietary). The MIT license also means the CLI can be embedded into internal tooling, customized, or extended without licensing friction.

Cloud Agent (Pro Tiers)

Codex Cloud Agent (Pro-tier feature) spins up a sandboxed cloud environment for long-running tasks. Useful for heavy refactoring jobs, multi-hour builds, autonomous PR-based workflows. Comparable to Cursor 3.5’s Cloud Agents and Antigravity’s Managed Agents. Reliability is good on well-scoped tasks; less consistent than the dedicated agentic IDE alternatives on complex multi-step work that spans many files and architectural decisions.

Desktop Superapp Integration (Coming)

OpenAI announced in March 2026 plans to integrate Codex + Atlas browser + ChatGPT into a single desktop application. No firm ship date as of May 2026. Strategic significance: Codex becomes a workflow surface inside a broader OpenAI desktop product rather than a separate tool. For developers whose AI use already spans coding + chat + browser, the integration plan is a meaningful future signal — but it’s not shipped, so don’t base purchase decisions on it today.

🧪 Real Test Results (May 2026)

Four scenarios run against Codex on GPT-5.5 (Plus tier) in May 2026. Same prompts run against Claude Code on Opus 4.8 for comparison.

Test 1: Build A New Feature (Next.js + Supabase)

Task: add a “bookmark this article” feature with Postgres migration, API routes, and UI component. Codex CLI finished in 27 minutes — clean code, ran existing tests, opened the PR with a review-ready diff. Claude Code finished in 34 minutes with a more methodical approach and slightly cleaner architectural decisions. Both shipped review-ready code. Net: Codex faster, Claude Code marginally more polished. For solo-developer feature work, either tool is a reasonable pick.

Test 2: Debug A Complex Race Condition

Task: hunt down a flaky test caused by an asyncio race condition in a Python payment service. Codex identified the race within five iterations and proposed a lock-based fix that worked. Claude Code worked through the trace more methodically and identified the same root cause in four iterations with a slightly cleaner fix. For race-condition debugging where careful reasoning matters more than speed, Claude Code edges ahead. Codex got the right answer; Claude Code got the right answer with cleaner reasoning.

Test 3: Multi-File Refactoring (Auth Middleware)

Task: refactor a JWT validation middleware to add token revocation checks across 8 files without breaking existing API consumers. Claude Code won this category decisively — the multi-file architectural reasoning that earned it Terminal-Bench’s #2 spot showed up in practical work. Codex completed the refactor but needed two follow-up corrections for cross-file consistency issues. For workloads dominated by multi-file refactoring, Claude Code remains the better pick despite Codex’s overall benchmark parity.

Test 4: Monorepo Context Task

Task: analyze cross-package dependencies in a 600K-line monorepo and produce a dependency graph plus a refactoring proposal for breaking circular dependencies. Codex struggled with the context window — even GPT-5.5 Pro’s ~200K effective context is too small for a 600K-line monorepo, so the analysis was necessarily partial. Gemini CLI on Gemini 3.1 Pro (1M+ token context) won this category by being able to hold the full monorepo in one conversation. For monorepo-scale work, Gemini CLI’s context-window advantage matters more than Codex’s benchmark wins.

🎯 Who Should Use ChatGPT Codex (And Who Shouldn’t)

Choose ChatGPT Codex If:

• You’re already a ChatGPT Plus subscriber — Codex is bundled in, so it’s effectively free at the margin.
• Your primary coding workflow is terminal-first — Codex CLI leads Terminal-Bench 2.1 at 83.4%.
• You want an open-source MIT-licensed CLI you can audit, embed, or customize.
• You do mostly intent-driven single-file tasks — Codex’s strongest workload category.
• You want to try a coding agent without committing to a subscription — the standalone CLI runs without ChatGPT login (rate-limited).
• You’re building agentic coding into your own product via API — OpenAI’s API surface is the broadest and best-documented in the category.

Choose Claude Code Instead If:

• Your daily work is dominated by complex multi-file refactoring across large codebases.
• You want the careful-reasoning style that Anthropic’s Claude is known for.
• You’re already a Claude Pro subscriber and don’t want to pay for ChatGPT Plus separately.
• You value Claude Mythos Preview’s 93.9% SWE-bench peak (when it becomes production-available).

Choose Gemini CLI Instead If:

• You work on monorepos where holding the full codebase in context matters — 1M+ token window is the structural advantage.
• You’re already in the Google Workspace / Google Cloud ecosystem.
• You want a free CLI tier (Gemini CLI has a meaningful free tier; Codex CLI is rate-limited free but tighter).

Skip Agentic Coding Tools Entirely If:

• Your work is dominated by code completion rather than autonomous task execution — GitHub Copilot, Cursor inline, or Windsurf Tab may be better fits.
• You’re learning to code and shouldn’t be using autonomous agents to write code you don’t understand yet.
• You’re working on safety-critical or highly regulated code where autonomous agent changes carry unacceptable review overhead.

💬 Developer Sentiment (May 2026)

What Developers Consistently Praise

• The GPT-5.5 backbone upgrade is consistently rated as the most meaningful Codex improvement of 2026 — measurable benchmark gains plus practical workflow improvements.
• Terminal-Bench 2.1 leadership at 83.4% is the most-cited reason developers who previously preferred Claude Code are testing Codex again.
• Codex CLI’s MIT open-source licensing is consistently praised in security-conscious developer communities (r/programming, Hacker News).
• Bundling with ChatGPT Plus continues to be the single biggest accessibility win — “free if you already pay for ChatGPT” is the most common positive comment.
• The Cloud Agent capability gets credit for handling long-running tasks reasonably well, though most developers describe it as “useful when scoped properly, less useful for open-ended work.”

Common Complaints

• Multi-file refactoring quality still trails Claude Code by enough that developers doing serious refactoring work continue paying for Claude Pro separately.
• Context window (~128K standard, ~200K on Pro) lags Gemini’s 1M+ for monorepo-scale work.
• Cloud Agent reliability is uneven on open-ended tasks — better at well-scoped jobs.
• The bundling with ChatGPT Plus creates lock-in friction for developers who’d prefer to pick coding agents independently of their default chatbot subscription.
• Desktop Superapp announcement created some uncertainty — developers worry about Codex being “absorbed” into a broader product rather than remaining a focused coding tool.

✅ Final Verdict

The honest ChatGPT Codex review verdict for May 2026: Codex on GPT-5.5 is now a top-tier coding agent that earns its place at the same benchmark tier as Claude Opus 4.8. The Terminal-Bench 2.1 leadership at 83.4% gives Codex a meaningful CLI-workflow advantage. The 88.7% SWE-bench Verified ties Claude Opus 4.8 for the production top spot. Bundling with ChatGPT Plus makes Codex effectively free for the majority of developers who already pay for ChatGPT. The open-source MIT-licensed CLI lowers the barrier to trying it further. For most developers picking a primary agentic coding tool in May 2026, Codex earns a serious look — and for ChatGPT Plus subscribers specifically, it’s the dominant default.

The honest qualifier: benchmark wins don’t always translate to workflow wins. Claude Code’s edge on complex multi-file refactoring is real and important for developers whose daily work is dominated by that workload class. Gemini CLI’s 1M+ token monorepo context wins for the specific monorepo-scale work where context window dominates. The right pick depends on your workflow. For the broadest range of developers, Codex now earns “use this by default; switch to Claude Code or Gemini CLI only when your specific workload benefits from their structural advantages.”

Overall score: 4.4/5 ⭐⭐⭐⭐½ — up from 4.0/5 in the February 2026 review. The bump reflects the GPT-5.5 backbone upgrade, the Terminal-Bench leadership, and the maturity of Codex CLI as a standalone open-source product. The fractional gap to 4.5 accounts for: multi-file refactoring still trailing Claude Code, context window lagging Gemini, and Cloud Agent reliability still uneven on open-ended tasks.

❓ Frequently Asked Questions

Is there a free version of ChatGPT Codex?

Yes — Codex CLI standalone is open-source MIT-licensed and free to install and use without any ChatGPT subscription. Rate-limited but enough for sampling and light personal use. Logging in with a ChatGPT account expands the usage limits; Plus subscribers get Plus-tier capacity; Pro subscribers get Pro-tier capacity. The free CLI is the most accessible entry point to agentic coding in May 2026.

Is ChatGPT Codex better than Claude Code?

Depends on workload. On Terminal-Bench 2.1 (CLI autonomy), Codex CLI on GPT-5.5 leads at 83.4% vs Claude Code on Opus 4.8 at 78.9%. On SWE-bench Verified (curated GitHub issues), both tie at the production top tier (Codex 88.7%, Opus 4.8 88.6%). On complex multi-file refactoring (not directly benchmarked), Claude Code maintains a practical edge. For most workloads, either tool is a credible top-tier pick — pick by subscription preference (Codex bundled with ChatGPT Plus; Claude Code requires Claude Pro) and workload specifics.

How does ChatGPT Codex compare to GitHub Copilot?

Different categories. GitHub Copilot is primarily a code-completion tool integrated into editors (autocomplete-style suggestions, inline chat for quick questions). Codex is an agentic coding tool built for autonomous multi-step task execution (you describe a task, it runs through the steps). Most developers use both for different workloads — Copilot for inline completion while typing, Codex for “go do this multi-step thing while I focus on something else.” See our GitHub Copilot Pro review for the Copilot side.

What’s the difference between GPT-5.5 and GPT-5.5 Pro for Codex?

GPT-5.5 is the default Codex backbone available on ChatGPT Plus ($20/month). GPT-5.5 Pro is the advanced reasoning variant available on the new $100 Pro and existing $200 Pro tiers — uses extended thinking for harder problems. Practical difference: GPT-5.5 handles most coding tasks well; GPT-5.5 Pro is meaningfully better on the hardest 10-20% of problems where extended reasoning helps. For typical Plus-tier coding work, GPT-5.5 is fine. For consistent work on the hardest problems where being wrong costs more than being slow, GPT-5.5 Pro earns the upgrade.

What’s the difference between Codex and Codex CLI?

Codex (the broader product) is OpenAI’s full-stack software engineering agent, accessible through ChatGPT web/desktop, the CLI, the API, and the Cloud Agent surface. Codex CLI is the specific terminal-first version — open-source MIT-licensed, installable standalone, designed for developers who prefer command-line workflows. The Codex CLI uses the same GPT-5.5 backbone as the web version. Functionally equivalent — pick the surface that fits your workflow style.

Can ChatGPT Codex replace a human developer?

No. Codex is an agent that handles well-scoped autonomous tasks; it doesn’t have the architectural judgment, system-level context, stakeholder communication skills, or business reasoning that a human developer brings. Realistic use: Codex handles a meaningful portion of well-scoped implementation work (writing features, fixing bugs, running tests, basic refactoring), freeing human developers for architecture, design, code review, business logic decisions, and the work that requires understanding the broader system. Most teams report meaningful productivity gains; none report replacement.

Is my code safe with ChatGPT Codex?

For most use, yes — code passed to Codex during a session is processed for that session and standard OpenAI data-handling policies apply. ChatGPT Business and Enterprise tiers add contractual data-handling guarantees (no training on customer data, SOC 2 compliance, contractual confidentiality). For sensitive proprietary code, Business or Enterprise tier is the appropriate choice. The Codex CLI standalone offers an additional option: self-host the open-source CLI in environments where the data shouldn’t leave your infrastructure at all.

What languages does ChatGPT Codex support?

Codex handles essentially every mainstream programming language well: Python, JavaScript / TypeScript, Go, Rust, Java, C / C++, Ruby, PHP, Swift, Kotlin, SQL, HTML / CSS, shell scripting. Strongest on Python and TypeScript / JavaScript (the most-represented languages in the training data). Weaker on highly specialized or rarely-used languages (some assembly variants, niche DSLs, legacy mainframe languages). For the typical web, backend, mobile, or systems work most developers do, Codex is well-supported.

📚 Related Reading

• ChatGPT Review — the broader ChatGPT product family covered in depth
• Claude Code Review — the head-to-head competitor on multi-file refactoring
• Claude Code vs Gemini CLI — terminal coding agent comparison
• Claude Code vs Cursor — CLI vs IDE-native agentic coding
• Antigravity vs Cursor — IDE-native agentic platforms
• Claude AI Review — the broader Claude product family
• Gemini Review — Google’s chatbot + Gemini CLI ecosystem
• Windsurf Review — alternative AI IDE
• GitHub Copilot Pro — inline code completion alternative
• Best AI Developer Tools — the full landscape

Stay Updated on AI Coding Tools

The agentic coding space shifts every two weeks. Subscribe for honest reviews of Codex updates, Claude Code releases, Gemini CLI improvements, Cursor 3.6 / Antigravity 2.5 announcements — delivered every Thursday at 9 AM EST.

• ✅ Honest Reviews: We actually test these tools, not rewrite press releases
• ✅ Benchmark Updates: SWE-bench, Terminal-Bench, ARC-AGI tracked as the field evolves
• ✅ Pricing Changes: Know when tiers shift or new free options appear
• ✅ Practical Tests: Real workflow tests, not synthetic prompts
• ✅ No Hype: Just the AI coding news that matters for your work

Free, unsubscribe anytime. 10,000+ professionals trust us.

Last Updated: May 30, 2026

Tools Tested: ChatGPT Codex (GPT-5.5 backbone) via Codex CLI standalone, ChatGPT Plus ($20/month), and ChatGPT Pro $100 ($100/month, NEW April 2026) with GPT-5.5 Pro variant. Comparison testing against Claude Code on Claude Pro (Opus 4.8) and Gemini CLI on Gemini AI Pro (Gemini 3.1 Pro). All pricing verified against openai.com/chatgpt/pricing as of May 30, 2026.

Slug: /chatgpt-codex-review/ — evergreen, unchanged. Codex is OpenAI’s brand name for the product (not a version number), so the slug works as a long-term canonical for the agentic-coding product line.

Next Review Update: When GPT-6 launches or Codex’s product surface materially shifts (Desktop Superapp integration, major Cloud Agent capability, Cloud Agent reliability improvements). Earlier updates if Claude Mythos becomes production-available.

Have a tool you want us to review? Suggest it here | Questions? Contact us