Consensus answer
OpenAI Codex is generally reported to be more token-efficient than Claude Code, especially for focused coding tasks and direct, autonomous implementations. Several comparisons report Codex using roughly 2–4× fewer tokens for similar tasks, although these figures come from non-uniform benchmarks rather than a definitive apples-to-apples evaluation.openaianthropic
However, there is no proven universal winner. Token use depends heavily on:
- the specific model and reasoning/effort setting;
- how much of the repository is loaded or re-read;
- tool calls, retries, subagents, and context compaction;
- whether “efficiency” means raw tokens or tokens per successful, tested change.
Claude Code often uses more tokens because it explores more files, reasons more explicitly, and performs more verification. That can improve reliability on ambiguous or complex refactoring tasks, so its higher token consumption may sometimes reduce retries or missed bugs.openaianthropic Codex can therefore be cheaper in raw usage while not necessarily being cheaper for every completed task.
Practical conclusion: choose Codex if your priority is minimizing raw token consumption and stretching a fixed quota. Choose Claude Code when deeper exploration and thoroughness are worth the additional usage. For a reliable decision, compare both on your own representative tasks using:
(input + cached input + output/reasoning tokens + retry costs)
÷ successful changes passing the same tests
That metric is more meaningful than tokens used per response.
Differences
1 notable difference (1 contradiction) across 5 models.
Model E claims that neither tool is demonstrably more token-efficient overall, directly contradicting the consensus that Codex is generally more efficient.
Neither tool is demonstrably more token-efficient overall.
OpenAI
“Short answer: neither is demonstrably more token-efficient overall.”
OpenAI Codex is generally reported to be more token-efficient than Claude Code.
Anthropic, Mistral, Grok, Gemini
“OpenAI Codex is more token-efficient”
How to verify: Double-check whether general benchmarks conclusively establish Codex as more token-efficient or if the evidence remains too inconclusive.
Best answerMistral
Sources
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1
Codex rate card | OpenAI Help Center help.openai.com
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2
Introducing Claude Opus 4.8 \ Anthropic anthropic.com
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3
Introducing upgrades to Codex | OpenAI openai.com
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4
Introducing Claude Opus 4.5 \ Anthropic anthropic.com
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5
Evals | OpenAI API Reference platform.openai.com
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6
Claude Code vs Codex (2026): Benchmarks, Cost & Verdict aivy.com.au
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7
Claude Code vs Codex: an honest comparison for no-coders nocodesaas.io
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8
mindstudio.ai
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9
duet.so
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10
helicone.ai
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11
Codex vs Claude Code (August 2026): Benchmarks, Subagents & Limits Compared morphllm.com
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12
Claude Code vs OpenAI Codex (May 2026): The Honest Engineering-Team Comparison codersera.com
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13
Claude Code vs OpenAI Codex 2026: Pricing & Speed - CatDoes catdoes.com
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14
Claude Code vs OpenAI Codex: $20/mo Each but OpenAI Claims 4x Better Efficiency [2026] spectrumailab.com
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15
Codex vs. Claude Code: AI Coding Assistants ComCodex vs. Claude Code: AI Coding Assistants Comparedpared | DataCamp datacamp.com
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16
Codex vs Claude Code: Which CLI Agent Wins for Your Workflow in 2026 particula.tech
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17
ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer arxiv.org
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18
Claude Code vs Codex CLI: Real Costs, Benchmarks, and When to Use Each | danilchenko.dev danilchenko.dev
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19
youtube.com
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20
catdoes.com
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21
datacamp.com
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22
medium.com
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23
reddit.com
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24
firecrawl.dev
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25
facebook.com
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26
nxcode.io
Cite this answer
consens.io. (2026-08-17). Consensus answer to "Is Claude Code or OpenAI Codex more token-efficient?". Models consulted: OpenAI: gpt-5.6-luna, Mistral: mistral-medium-latest, Anthropic Claude: claude-sonnet-5, Google Gemini: gemini-3.5-flash-lite, Grok: grok-4.3-no-reasoning. Consensus model: gpt-5.6-luna. Sources: https://help.openai.com/en/articles/20001106-codex-rate-card?utm_source=openai, https://www.anthropic.com/news/claude-opus-4-8?_bhlid=9ea8a7df912694769dea8faaddccc4d045ed6fa6&utm_source=openai, https://openai.com/index/introducing-upgrades-to-codex/?utm_source=openai, https://www.anthropic.com/news/claude-opus-4-5?via=browsingai&utm_source=openai, https://platform.openai.com/docs/api-reference/evals/deleteRun?lang=python&utm_source=openai, https://aivy.com.au/resources/claude-code-vs-codex/, https://www.nocodesaas.io/p/claude-code-vs-codex-desktop-apps, https://www.mindstudio.ai/blog/codex-vs-claude-code-context-window-token-efficiency, https://duet.so/blog/codex-vs-claude-code, https://www.helicone.ai/blog/gpt-4o-mini-vs-claude-3.5-sonnet, https://www.morphllm.com/comparisons/codex-vs-claude-code, https://codersera.com/blog/claude-code-vs-openai-codex-2026/, https://catdoes.com/blog/claude-code-vs-codex, https://spectrumailab.com/blog/claude-code-vs-openai-codex-comparison-2026, https://www.datacamp.com/blog/codex-vs-claude-code, https://particula.tech/blog/codex-vs-claude-code-cli-agent-comparison, https://arxiv.org/pdf/2606.05548, https://www.danilchenko.dev/posts/claude-code-vs-codex-cli/, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHCoUiax8s4gzFKDZMcPTgklxbRlMDkd3ufVcfKWV133is86JMgN6PDhilKeSRgzGNkR3iPDa54FOt3WLKzRSPye8bPf4HQxVTcVIbJH-5OCNyiuNG07jA3g-gtTWgsdJJm, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG527U_CUvwu3ima3u0yMkwvird0sJGHZrxx5ATX72yGPrjvp3u-5o2C5ePA6Z4cH1rBCv-JDmJQvFPU34lt0bPSDR3KH9igf8tzgxrYJB9HBk3qn2aPwpp1uwfhiLFR_rl6iY=, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRYB8vpEdyZCD6TdaZoPWJECzn8G9fUzyqWy--GOmdfuc5NNhwfL-7LQSYYgRaYcOMYFPc38BLS8ssYRrOf6Wa0MnpLK0aNN_DqnwlZYZPdCpL3m3aDUe-8zXmuGh4_M3ln1lNLpM3Rw==, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFYcY1M_5MPkmwr8LX6SAtYgBZJb4x0L9XhoCYJhSV7E3iNTfBkzTMoI_4kLPv2sYnTBwCxFkl2mHixfc51cEo0rgObQsROVENinTFXLRSnB_apfKWiiExUkmxfZos59lqM1uw8O5plmif1ydy1fwurRj_A9-3TfbJVeJ3MTPiGMe8-mFa2o3dHaRDypShRo5TiBw==, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRzKTBI7u7zHb5eOvu7NLhmdEPpiua6uu5STLsO3rZZp3utNjZsy9JHDc_zzGQdSe6PhZIaXAnqE2TwHAMh09_GvSbh8wqU2-0snV3A_cgRXXRP3m-6oLDL-GZ51Nf32ILHR-o5ahB58Q-pQpfIGQxX1P5ocbggMthdajdSk8RHyhj_yWQTRhpsmlmyE_8DzrpnOQurzGdFhpKig==, https://www.firecrawl.dev/blog/claude-code-vs-codex, https://www.facebook.com/groups/claudecommunity/posts/1002262218981110/, https://www.nxcode.io/resources/news/openai-codex-vs-cursor-vs-claude-code-ai-coding-tools-2026 Retrieved from https://www.consens.io/s/is-claude-code-or-openai-codex-more-token-efficient-HRrCNACJOtS4x7EM
Related questions
About this consensus
5 AI models answered this question independently on 2026-08-17. A judge from a different model family then cross-checked the answers, scored how far they agree and flagged where they differ.
AI models can make mistakes – verify important information against the sources above.
How consensus works →Thanks – this page has been reported for review.