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GPT-5.5 Codex vs Claude Code (Opus 4.7): April 2026

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GPT-5.5 Codex vs Claude Code (Opus 4.7): April 2026

The two most powerful coding agents in production just leapfrogged each other within a week. Anthropic’s Claude Code (running on Opus 4.7) hit a new SWE-bench record on April 16. OpenAI’s Codex (running on GPT-5.5) took back Terminal-Bench 2.0 on April 23. Here’s which one to actually use.

Last verified: April 24, 2026

TL;DR

GPT-5.5 CodexClaude Code (Opus 4.7)
ModelGPT-5.5Claude Opus 4.7
ReleasedApril 23, 2026April 16, 2026
SWE-bench Verified78.2%87.6%
SWE-bench Pro58.6%64.3%
Terminal-Bench 2.082.7%69.4%
GDPval84.9%79.3%
Max autonomous run7+ hours~90 min effective
Computer useNativeVia MCP/tools
Input $/1M tokens$1.50$15
IDE integrationVS CodeVS Code, JetBrains
Subscription optionChatGPT Plus $20/moClaude Pro $20/mo

What each agent actually is

GPT-5.5 Codex

A family of surfaces, all backed by GPT-5.5:

  • Codex CLI — terminal agent
  • Codex IDE extension — VS Code
  • Codex Cloud — cloud-based background agents with compute sandboxes
  • Codex Skills — the agentic toolkit (read-only production access, command-line interfaces)
  • Codex SDK — for building custom agents on GPT-5.5

OpenAI says GPT-5.5 is “purpose-built for Codex CLI, the Codex IDE extension, the Codex cloud environment, and working in GitHub, and also supports versatile tool use.” NVIDIA uses the Codex stack internally for automation workflows.

Claude Code

Anthropic’s first-party coding agent:

  • Claude Code CLI — terminal agent (claude command)
  • Claude Code VS Code extension
  • Claude Code JetBrains plugin
  • Claude Code Background Mode — autonomous long-running tasks
  • MCP integration — full Model Context Protocol support for tool use

By default, Claude Code runs on Opus 4.7 (since April 16). You can configure it to use Sonnet 4.6 for cheaper runs.

Benchmark winners by category

Task typeWinnerWhy
Resolve real GitHub issuesClaude CodeSWE-bench Verified lead (87.6% vs 78.2%)
Industry-realistic codebasesClaude CodeSWE-bench Pro lead (64.3% vs 58.6%)
Terminal / shell automationCodexTerminal-Bench 2.0 (82.7% vs 69.4%)
Autonomous multi-step agentsCodexGDPval (84.9% vs 79.3%)
Tool-use dialogsCodexτ²-Bench Telecom (79.1% vs 74.2%)
Deep multi-file refactorsClaude Code1M context + SWE-bench dominance
Computer use / browser automationCodexNative computer use in GPT-5.5
Running for 4+ hours unattendedCodexDynamic Reasoning Time 7+ hrs
Pair programming with reviewsClaude CodeFaster turn-around on small changes

Where each agent breaks down

Claude Code weaknesses in April 2026

  • Computer use requires MCP. Browser automation needs a separate MCP server (Playwright MCP, etc.). GPT-5.5 Codex has native computer use.
  • Shorter autonomous horizon. Claude Code sessions drift after ~90 minutes. Codex runs 7+ hours.
  • Opus 4.7 is expensive. At $15/$75 per million tokens, long-running Claude Code sessions can easily spend $20–50 per task. Switch to Sonnet 4.6 for routine work.
  • Slower. Opus 4.7 generates ~55 tokens/sec vs GPT-5.5’s ~150 tokens/sec. A 10K-token response takes 3x longer in Claude Code.

GPT-5.5 Codex weaknesses in April 2026

  • Worse at SWE-bench. On real GitHub issues, Claude Code’s Opus 4.7 still wins by 9.4 points. If your work is mostly “fix this bug in our repo,” Claude Code is the safer bet.
  • 400K context vs Claude Code’s 1M. On monorepos, GPT-5.5 needs chunking.
  • Less mature MCP ecosystem. Claude Code has a bigger third-party MCP library as of April 2026 (Anthropic shipped MCP a year earlier).
  • VS Code only for the IDE extension. JetBrains users still need Codex CLI.

When to use each

Use GPT-5.5 Codex when:

  • You need a long-running background agent (>2 hours unattended)
  • You’re doing computer use, browser automation, or UI testing
  • Cost matters — GPT-5.5 is 10x cheaper than Opus 4.7 per token
  • You want tight integration with GitHub Actions / cloud runners
  • Your codebase fits in 400K tokens
  • You’re already using ChatGPT Plus/Pro

Use Claude Code (Opus 4.7) when:

  • You need to resolve complex GitHub issues in a production codebase
  • You do large-PR refactors across 30+ files
  • You use JetBrains IDEs (not just VS Code)
  • You have a mature MCP tool stack
  • You want the current SWE-bench state of the art
  • You’re already paying for Claude Pro or Max

Use Claude Code (Sonnet 4.6) when:

  • You want Claude Code’s UX but at a fraction of the cost
  • Daily incremental coding work where Opus 4.7 is overkill
  • You’re price-sensitive but want the Claude ecosystem

The subscription math

At $20/month, both ChatGPT Plus and Claude Pro offer full access to their respective coding agents with practical usage caps. For solo developers, the choice is rarely about price — it’s about:

  1. Which model fits your work? (Deep refactors → Claude; long autonomous runs → Codex)
  2. Which IDE do you use? (JetBrains → Claude Code; VS Code → either)
  3. How tolerant are you of flakiness? (Production coders tend to prefer Claude Code’s stability)

For teams doing >$200/month of agent work via API, GPT-5.5’s pricing is compelling enough to run parallel workflows on both and route by task type.

The meta-lesson

One week ago, Claude Code was uncontestably the best coding agent in production. Today, it’s a split decision. That cycle will repeat — probably before June 2026.

The practical answer: build behind an abstraction (OpenRouter, LiteLLM, a custom router). Keep both Codex and Claude Code installed. Route by task type. Swap the default every time a new model ships. Your real benchmark is your own workload.


Last verified: April 24, 2026. Sources: OpenAI GPT-5.5 announcement, OpenAI Codex docs (developers.openai.com/codex), Anthropic Opus 4.7 model card, Claude Code docs, VentureBeat, Fortune, NVIDIA Blog, LLM-Stats, BenchLM.