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
(orgpt-5-mini
/gpt-5-nano
). Setmax_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
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.”
Truth layer — “Highlight every statement likely to need a citation. For each, propose 2 credible sources I can check.”
Counter-thesis — “Summarize viewpoint A, then produce the strongest rebuttal with numbered evidence.”
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