◆ Claude 4.5 Sonnet · ChatGPT (GPT-5) · Gemini 2.5 Pro Deep Think
Long-form Article / Report Writing.
Intent — 5000+ word deep article or technical document
5000+ word articles are a different axis of LLM evaluation: coherence, argument progression, context stability, citation alignment. The three frontier models excel along different dimensions — Claude's coherence, GPT-5's structuring tools, Gemini's massive context for source review.
01
Claude 4.5 Sonnet
◆ Recommended prompt
Write a 6000-word research article on the topic of "How AI image generation changed indie game art pipelines from 2023 to 2026". Cover: (1) Pre-AI baseline workflow + costs (2) 2023 transition with Stable Diffusion 1.5 (3) 2024 Midjourney v6 production-ready leap (4) 2025 ComfyUI + LoRA pipeline maturity (5) 2026 video generation entering pipeline. Use specific examples from real indie games. Tone: industry analyst, data-grounded, concrete numbers where possible. Include a final section on outstanding challenges. Output in markdown with proper h2 / h3 hierarchy.Open in Claude (paste it)
✓ Strengths
- **長文連貫性最強**:5000+ 字不掉論點線
- Editing 方向感最好(你說「第三段太長」它真的會縮)
- Claude Projects 可以掛參考 PDF 跟長對話 context
✗ Weaknesses
- Web 搜尋整合弱於 GPT / Gemini(要自己餵資料)
- 免費版有訊息限制
- 視覺化/表格生成不如 GPT Canvas
When to use
純創作、深度編輯、嚴格遵守 outline 的長文。
02
ChatGPT (GPT-5)
◆ Recommended prompt
I need to write a 6000-word research article on AI image generation's impact on indie game art (2023-2026). Use Canvas mode so we can iterate. Start by drafting an outline with h2/h3 structure, then we'll fill section by section. Cite specific games, data points, year-over-year comparisons. Tone: industry analyst.Open in ChatGPT (paste it)
✓ Strengths
- **Canvas 模式**:long doc 在側欄編輯,不會塞滿 chat
- Custom GPTs 可以掛特定 style guide / 知識庫
- Web search 內建(GPT-5 有 deep research)
✗ Weaknesses
- 比 Claude 略冗長(要明確說「縮短」才會精簡)
- Canvas 大文件偶爾要等很久才回應
- Pro 訂閱才有最強 model(GPT-5 Pro / o1 Pro)
When to use
需要 web 搜尋 + 即時引用、需要 Canvas iterate、要做多版本對照時。
03
Gemini 2.5 Pro Deep Think
◆ Recommended prompt
[Attach: 30 indie game postmortem articles, 50 GDC talk transcripts, 200 reddit threads on AI art workflows] Based on the 280 sources I've attached, write a 6000-word research article: "How AI image generation changed indie game art pipelines from 2023 to 2026". Cite specific games/talks/threads inline. Use specific data when sources provide it. Tone: industry analyst.Open in Gemini (paste it)
✓ Strengths
- **1M token context**:可塞 100+ PDF / 完整 codebase 後再寫
- Multimodal — 同時讀 PDF / 圖 / 影片 / code
- Gemini App / AI Studio / Vertex 三種接入彈性
✗ Weaknesses
- 純創作(沒參考材料)不如 Claude / GPT
- 輸出風格略「正式」缺 Claude 的人味
- Deep Think 模式回應較慢
When to use
要先看一堆參考材料再下筆 / 跨大量 source 做研究綜述 / 學術 / 政策報告。
◆ Bottom line
Pure writing + editing → Claude 4.5. Structured outlines + version management → GPT-5 Canvas. Need to digest 100+ source docs first → Gemini 2.5 Pro.