Tech With Tim
Codex vs Claude - an Honest Comparison
Summary
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This video compares the agentic coding capabilities, performance, and pricing of OpenAI's Codex and Anthropic's Claude Code, concluding that both provide value depending on the user's focus.
This video provides a detailed technical comparison of two leading agentic coding tools: OpenAI's Codex (specifically its CLI and broader product ecosystem) and Anthropic's Claude Code. The creator emphasizes that these tools should be evaluated as complete 'agentic harnesses'—combining a large language model with a set of tools, permissions, and environment configurations—rather than merely comparing the performance of the underlying models themselves. Through a series of practical, timed experiments—including analyzing an unfamiliar codebase, building an app from scratch, refactoring a 5,000-line file, debugging, and performing pull request reviews—the video assesses both the speed and the quality of the solutions produced. While Codex consistently offers faster, more efficient performance with more generous usage limits at lower costs, Claude's models often demonstrate greater depth, taking more initiative in writing thorough tests and robust code at the expense of higher latency and resource consumption. The analysis highlights that Anthropic's models, particularly Opus 5, often deliver higher-quality outcomes on complex tasks despite being slower, leading the creator to recommend using both tools together as a highly effective strategy for software developers.
Verdict
Codex offers superior speed and cost-efficiency, while Claude provides deeper reasoning and more robust, proactive code generation.
Pros
Cons
Specs
Compared to
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Anthropic Claude Code
Claude prioritizes reasoning depth, often resulting in higher quality but slower output compared to Codex's speed-first approach.
Best for
Not for
Key Points
- 1:38 The speaker argues that coding tools should be evaluated as 'agentic harnesses' rather than just comparing LLM performance.
- 7:03 Comparison of models included: Codex with GPT-5.6 Sol versus Claude with Sonnet 5, Opus 5, and Haiku 4.5.
- 10:01 Discussion on why vendor-reported benchmark results can be misleading and why independent testing is essential.
- 13:53 Codex is found to be faster and more cost-efficient, often requiring fewer tokens for the same task.
- 14:02 Claude Code demonstrates more in-depth reasoning and proactive problem-solving, though it is slower and consumes more resources.
- 20:46 The final verdict: Use Codex for speed and efficiency, and Claude for tasks requiring maximum depth and thoroughness.
Worth watching if: You are a developer choosing between AI coding agents and want to understand the practical trade-offs in speed, cost, and reasoning capability before committing to a paid subscription.
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