GPT-5 Is Here: Features, Pricing, and 15 Power Prompts You Can Use Today

TL;DR: OpenAI just shipped GPT-5 (plus mini and nano variants). It’s faster, more capable, and built for long, multi-document reasoning. ChatGPT users get GPT-5 now; developers get a massive ~400k-token context window and tiered prices that make scaling practical. Below: what changed, how to switch, and the prompts that give you an unfair edge today. OpenAI+2OpenAI+2

What’s actually new (no fluff)

  • Three model sizes: GPT-5, GPT-5 mini, GPT-5 nano — same family, different price/speed tradeoffs. OpenAI

  • Long context for real work: API context up to ~400k tokens with 128k max output — digest books, codebases, and research packets in one go. OpenAI

  • Live in ChatGPT: GPT-5 is selectable now; Plus has higher message caps (temporarily) before auto-fallback to the mini variant. OpenAI Help Center

  • New pricing tiers: From $1.25 / 1M input tokens for GPT-5 (much lower for mini/nano). OpenAIOpenAI Platform

Pricing & plans at a glance

  • ChatGPT (individual plans): GPT-5 access on Free/Plus/Pro with increasing limits; Plus extends messaging and features. Check your plan for current caps. OpenAIOpenAI Help Center

  • API (builders):

    • GPT-5: ~$1.25 input / ~$10 output per 1M tokens

    • GPT-5 mini: ~$0.25 / ~$2.00

    • GPT-5 nano: ~$0.05 / ~$0.40
      (See official table for updates.) OpenAI

How to switch right now

  • In ChatGPT: Open the model picker → select GPT-5. If you hit the cap, ChatGPT temporarily switches to GPT-5 mini until your limit resets. OpenAI Help Center

  • In the API: Change your model to gpt-5 (or gpt-5-mini / gpt-5-nano). Set max_output_tokens intentionally to avoid surprise costs on long generations. OpenAI

Where GPT-5 actually moves the needle

  • Research & analysis: Ingest long PDFs/transcripts and ask for cross-checked syntheses with an “assumptions” section. The long context is the cheat code. OpenAI

  • Coding & agents: Better planning and edits across large repos; optimized for agentic workflows. OpenAI

  • Content ops: Long-form → Shorts → social cut-downs in one pass without losing structure.

The Era of AI “starter stack” for GPT-5

  • ChatGPT (Plus): daily research, outlines, briefs. OpenAI

  • API (mini/nano): bulk tasks (summaries, captions, tags) to control spend. OpenAI

  • API (full GPT-5): deep reports, multi-doc syntheses, code reviews.

15 power prompts (copy/paste)

Research & writing

  1. Cross-doc brief — “Read all attached PDFs. Create a 1-page brief with 5 verified claims, a ‘What’s Missing’ section, and links to exact quotes.”

  2. Truth layer — “Highlight every statement likely to need a citation. For each, propose 2 credible sources I can check.”

  3. Counter-thesis — “Summarize viewpoint A, then produce the strongest rebuttal with numbered evidence.”

  4. Editorial polish — “Rewrite for AP style, ≤14 word sentences, active voice, and add subheads every 200–300 words.”

Coding & ops
5) Repo explainer — “Map the architecture of this repo. Output: modules diagram + risk list + test plan.” OpenAI
6) Bug surgeon — “Given failing tests, propose minimal diffs only. Explain why they’re safe.”
7) Agent plan — “Design a 4-step autonomous loop to triage inbound emails with stop conditions and escalation rules.”

YouTube growth kit
8) 10 viral titles — “Write 10 title options optimized for CTR on ‘GPT-5 just launched’ (≤52 chars). Include a parenthetical angle.”
9) Script compressor — “Compress this 1,500-word script into a 58–60s Short with a 3-beat hook.”
10) B-roll shotlist — “List 12 b-roll ideas with on-screen text for a GPT-5 explainer; mark 3 as ‘must-have.’”
11) Chapter timing — “Create a timeline with timestamps, hooks, and retention spikes every 30–45s.”
12) Thumbnail copy — “Generate 12 punchy 2–4 word phrases; no punctuation; high contrast.”

Monetization & SEO
13) Affiliate slide-in — “Suggest a single, ethical CTA that fits naturally in section 3; write it in 15 words.”
14) Semantic SEO — “List 20 long-tails for this post; cluster by intent; map to H2/H3.”
15) Repurpose pack — “Turn this post into: 5 tweets, 1 LinkedIn, 1 newsletter intro, 3 Shorts hooks.”

YouTube: titles that travel (steal these)

  • GPT-5 Just Changed the Game (Here’s What Matters)

  • I Switched to GPT-5 for 24 Hours — Results

  • GPT-5 vs Your Job: 5 Brutal Truths

  • Stop Wasting Tokens: GPT-5 Settings That Save Money

  • I Fed GPT-5 My Whole Business — What Happened

  • This Prompt Makes GPT-5 Scary Good

  • GPT-5 mini vs nano: Which Should You Use?

  • The 7 Biggest Lies About GPT-5

  • We Tested GPT-5 on Real Research — Pass or Fail?

  • GPT-5 for YouTubers: Scripts, B-Roll, Thumbnails in 10 Minutes

Should you migrate today?

Yes — but stage it.
Move research, analysis, coding assistants first. Keep high-volume automations on mini/nano until you benchmark cost & quality. In ChatGPT, use GPT-5 for heavy thinking and be mindful of cap/fallback behavior. OpenAI Help Center

Bottom line

GPT-5 isn’t hype — it’s a workhorse with the context and control to replace messy multi-tool chains. Use GPT-5 for the thinking; use mini/nano for the grind. That’s how you win the next 90 days. OpenAI

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