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English(EN) Same code, about 60% more output tokens on Claude: 80 runs across Claude Code, Codex and Antigravity in 5 languages

Claude Opus 5.5 的输出 token 比 Gemini、GPT-6 多 60%

一项最近的代码生成模型对比分析发现,与 Gemini 4 Argon 和 GPT-6 Luna 相比,Claude Opus 5.5 每生成一个代码字符所需的输出 token 约多 60%。这种 token 使用量的差异,特别是对于 API 调用中更昂贵的输出 token,可能会显著增加用户的成本。该研究使用一致的打砖块游戏任务,在五种编程语言中测试了这些模型,生成的大部分游戏都能正常运行。 AI

影响 与 Gemini 和 GPT-6 相比,Claude Opus 5.5 更高的输出 token 使用量可能导致开发者的 API 成本增加。

排序理由 模型性能和 token 使用量分析。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Claude Opus 5.5 的输出 token 比 Gemini、GPT-6 多 60%

本文如何被排名

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
模型性能和 token 使用量分析。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Johmisking ·

    Same code, about 60% more output tokens on Claude: 80 runs across Claude Code, Codex and Antigravity in 5 languages

    <p>Yesterday I compared Google's new Antigravity CLI with Claude Code and Codex. One number kept bothering me: Claude Opus 5.5 wrote shorter games than Gemini but did not use proportionally fewer output tokens. So I divided output tokens by the size of the file each run wrote, ac…