From 561ccdbb5fa53a3b54572893ccb994f6ec0b295e Mon Sep 17 00:00:00 2001 From: alabulei1 Date: Tue, 14 Jul 2026 11:16:51 +0800 Subject: [PATCH] docs(blog): make the GPT-5.6 pricing a table Convert the four pricing bullets into a Model/Input/Output/Cached input/Cache writes table in all four languages, and move the "up to 272K input tokens" qualifier into the intro line. Add prose table cell styling (borders, padding, shaded header) to WritingLayout so tables render cleanly across all articles; cells stay nowrap and the table scrolls inside its box on mobile (verified no page overflow at 375px in all four languages). Co-Authored-By: Claude Opus 4.8 (1M context) --- src/content/writings/en/gpt-5-6-token-station.md | 14 ++++++++------ src/content/writings/ja/gpt-5-6-token-station.md | 14 ++++++++------ src/content/writings/ko/gpt-5-6-token-station.md | 14 ++++++++------ src/content/writings/zh/gpt-5-6-token-station.md | 14 ++++++++------ src/layouts/WritingLayout.astro | 5 ++++- 5 files changed, 36 insertions(+), 25 deletions(-) diff --git a/src/content/writings/en/gpt-5-6-token-station.md b/src/content/writings/en/gpt-5-6-token-station.md index ad9fc15..f579d46 100644 --- a/src/content/writings/en/gpt-5-6-token-station.md +++ b/src/content/writings/en/gpt-5-6-token-station.md @@ -80,12 +80,14 @@ For coding agents, cache accounting matters because repository context repeats. Token Station normalizes GPT-5.6 `cache_write_tokens` usage so cache writes are charged in the cache-creation bucket without double-counting them as ordinary input tokens. -A practical price frame inside Token Station: - -- GPT-5.6 Sol / `openai/gpt-5.6`: $5/M input, $30/M output, $0.50/M cached input, and $6.25/M cache writes up to 272K input tokens. -- GPT-5.6 Terra: $2.50/M input and $15/M output up to 272K input tokens. -- GPT-5.6 Luna: $1/M input and $6/M output up to 272K input tokens. -- Claude Fable 5: $10/M input, $50/M output, $1/M cache reads, $12.50/M prompt-cache writes, and $20/M one-hour cache writes. +A practical price frame inside Token Station (GPT-5.6 rates are for up to 272K input tokens): + +| Model | Input | Output | Cached input | Cache writes | +|---|---|---|---|---| +| GPT-5.6 Sol (`openai/gpt-5.6`) | $5/M | $30/M | $0.50/M | $6.25/M | +| GPT-5.6 Terra | $2.50/M | $15/M | - | - | +| GPT-5.6 Luna | $1/M | $6/M | - | - | +| Claude Fable 5 | $10/M | $50/M | $1/M cache reads | $12.50/M prompt-cache, $20/M 1-hour | Above 272K input tokens, GPT-5.6 uses a long-context tier: Sol doubles input and cached-input prices and moves output to $45/M; Terra moves to $5/M input and $22.50/M output; Luna moves to $2/M input and $9/M output. diff --git a/src/content/writings/ja/gpt-5-6-token-station.md b/src/content/writings/ja/gpt-5-6-token-station.md index 7a24f86..29e2089 100644 --- a/src/content/writings/ja/gpt-5-6-token-station.md +++ b/src/content/writings/ja/gpt-5-6-token-station.md @@ -78,12 +78,14 @@ coding agent は repository context を何度も送ります。file summaries、 Token Station は GPT-5.6 の `cache_write_tokens` を cache-creation bucket に正規化し、ordinary input tokens と二重計上しないようにします。 -実用的な価格フレーム： - -- GPT-5.6 Sol / `openai/gpt-5.6`: $5/M input、$30/M output、$0.50/M cached input、$6.25/M cache writes（272K input tokens まで）。 -- GPT-5.6 Terra: $2.50/M input、$15/M output（272K まで）。 -- GPT-5.6 Luna: $1/M input、$6/M output（272K まで）。 -- Claude Fable 5: $10/M input、$50/M output、$1/M cache reads、$12.50/M prompt-cache writes、$20/M one-hour cache writes。 +実用的な価格フレーム（GPT-5.6 の価格は 272K input tokens まで）： + +| モデル | Input | Output | Cached input | Cache writes | +|---|---|---|---|---| +| GPT-5.6 Sol（`openai/gpt-5.6`） | $5/M | $30/M | $0.50/M | $6.25/M | +| GPT-5.6 Terra | $2.50/M | $15/M | - | - | +| GPT-5.6 Luna | $1/M | $6/M | - | - | +| Claude Fable 5 | $10/M | $50/M | $1/M cache reads | $12.50/M prompt-cache、$20/M one-hour | 272K input tokens を超えると GPT-5.6 は long-context tier になります。Sol は input と cached-input が倍になり、output は $45/M。Terra は $5/M input と $22.50/M output、Luna は $2/M input と $9/M output です。 diff --git a/src/content/writings/ko/gpt-5-6-token-station.md b/src/content/writings/ko/gpt-5-6-token-station.md index 65bf8c8..0a6cdbc 100644 --- a/src/content/writings/ko/gpt-5-6-token-station.md +++ b/src/content/writings/ko/gpt-5-6-token-station.md @@ -78,12 +78,14 @@ coding agent는 repository context를 반복해서 보냅니다. file summaries, Token Station은 GPT-5.6 `cache_write_tokens`를 cache-creation bucket으로 정규화해 ordinary input tokens와 이중 계산되지 않게 합니다. -실용적인 가격 프레임: - -- GPT-5.6 Sol / `openai/gpt-5.6`: $5/M input, $30/M output, $0.50/M cached input, $6.25/M cache writes up to 272K input tokens. -- GPT-5.6 Terra: $2.50/M input, $15/M output up to 272K. -- GPT-5.6 Luna: $1/M input, $6/M output up to 272K. -- Claude Fable 5: $10/M input, $50/M output, $1/M cache reads, $12.50/M prompt-cache writes, $20/M one-hour cache writes. +실용적인 가격 프레임 (GPT-5.6 가격은 272K input tokens 이내 기준): + +| 모델 | Input | Output | Cached input | Cache writes | +|---|---|---|---|---| +| GPT-5.6 Sol (`openai/gpt-5.6`) | $5/M | $30/M | $0.50/M | $6.25/M | +| GPT-5.6 Terra | $2.50/M | $15/M | - | - | +| GPT-5.6 Luna | $1/M | $6/M | - | - | +| Claude Fable 5 | $10/M | $50/M | $1/M cache reads | $12.50/M prompt-cache, $20/M one-hour | 272K input tokens를 넘으면 GPT-5.6은 long-context tier를 사용합니다. Sol은 input과 cached-input이 두 배가 되고 output은 $45/M, Terra는 $5/M input과 $22.50/M output, Luna는 $2/M input과 $9/M output입니다. diff --git a/src/content/writings/zh/gpt-5-6-token-station.md b/src/content/writings/zh/gpt-5-6-token-station.md index 9c54619..3a04efc 100644 --- a/src/content/writings/zh/gpt-5-6-token-station.md +++ b/src/content/writings/zh/gpt-5-6-token-station.md @@ -80,12 +80,14 @@ Token Station 暴露 GPT-5.6 的关键价格类别：input、output、cached inp Token Station 会规范 GPT-5.6 的 `cache_write_tokens` 用法，让 cache write 进入 cache-creation bucket，而不是被重复算成普通 input tokens。 -Token Station 里的实用价格框架： - -- GPT-5.6 Sol / `openai/gpt-5.6`：$5/M input、$30/M output、$0.50/M cached input、$6.25/M cache writes，适用于 272K input tokens 以内。 -- GPT-5.6 Terra：$2.50/M input、$15/M output，适用于 272K input tokens 以内。 -- GPT-5.6 Luna：$1/M input、$6/M output，适用于 272K input tokens 以内。 -- Claude Fable 5：$10/M input、$50/M output、$1/M cache reads、$12.50/M prompt-cache writes、$20/M one-hour cache writes。 +Token Station 里的实用价格框架（GPT-5.6 价格适用于 272K input tokens 以内）： + +| 模型 | Input | Output | Cached input | Cache writes | +|---|---|---|---|---| +| GPT-5.6 Sol（`openai/gpt-5.6`） | $5/M | $30/M | $0.50/M | $6.25/M | +| GPT-5.6 Terra | $2.50/M | $15/M | - | - | +| GPT-5.6 Luna | $1/M | $6/M | - | - | +| Claude Fable 5 | $10/M | $50/M | $1/M cache reads | $12.50/M prompt-cache、$20/M one-hour | 超过 272K input tokens 后，GPT-5.6 使用 long-context tier：Sol 的 input 和 cached-input 价格翻倍，output 变为 $45/M；Terra 变为 $5/M input 和 $22.50/M output；Luna 变为 $2/M input 和 $9/M output。 diff --git a/src/layouts/WritingLayout.astro b/src/layouts/WritingLayout.astro index 1c62020..431dd7b 100644 --- a/src/layouts/WritingLayout.astro +++ b/src/layouts/WritingLayout.astro @@ -89,7 +89,10 @@ const dateText = new Intl.DateTimeFormat(lang === 'zh' ? 'zh-CN' : lang === 'ja' .prose img { display:block; width:100%; max-width:100%; height:auto; object-fit:contain; } .prose pre { background:#fff; border:1px solid #e4e4e7; border-radius:12px; padding:20px 24px; overflow-x:auto; margin:32px 0; max-width:100%; } .prose code { white-space:pre-wrap; overflow-wrap:anywhere; } - .prose table { display:block; max-width:100%; overflow-x:auto; border-collapse:collapse; } + .prose table { display:block; max-width:100%; overflow-x:auto; border-collapse:collapse; margin:32px 0; font-family:system-ui,sans-serif; font-size:15px; } + .prose th,.prose td { border:1px solid #e4e4e7; padding:10px 14px; text-align:left; vertical-align:top; white-space:nowrap; } + .prose th { background:#f4f4f5; font-weight:600; } + .prose tbody td:first-child,.prose td:first-child { white-space:normal; } footer { max-width:1200px; margin:0 auto; padding:48px 24px; display:flex; justify-content:space-between; gap:24px; font-family:system-ui,sans-serif; color:#71717a; } @media (max-width:1024px){ .page-grid{grid-template-columns:1fr; max-width:760px;} .sidebar-left,.sidebar-right{display:none;} } @media (max-width:640px){ body > nav{padding:0 16px;} .nav-hide-sm{display:none;} .article-header{padding-top:48px;} .prose{font-size:17px;} footer{flex-direction:column;} }