GPT-5: Release, Features, Benchmarks & Pricing (2025 Guide)

A verified, hype-free briefing on OpenAI’s latest flagship GPT-5 —what’s confirmed, what’s not, how it compares to Claude & Gemini, and how to prep your team.

Illustration of a model router splitting a user prompt into fast and deep-reasoning paths for GPT-5.

Key confirmations:

  • Availability: in ChatGPT (free with usage caps; higher limits for Plus/Team/Enterprise) and across API as gpt-5, gpt-5-mini, gpt-5-nano. (Source: OpenAI; Wired) OpenAIWIRED
  • Context window (API): up to 400K tokens (272K input, 128K reasoning/output). (Source: OpenAI) OpenAI
  • Focus areas: coding, front-end generation, long multi-step tool use (agents), improved instruction-following and factuality. (Source: OpenAI) OpenAI
  • Enterprise rollout: Microsoft added GPT-5 to Copilot (including Microsoft 365 Copilot, Copilot Studio and Azure AI). (Source: Microsoft; The Verge) MicrosoftThe Verge

Expert POV: “This is the best model in the world at coding and writing.”Sam Altman, CEO, in press briefing reported by The Verge (Aug 7, 2025). The Verge

GPT-5: Fast when you need speed, deep when you need reasoning

  • GPT-5 is live in ChatGPT and in the API; Microsoft added it to Copilot the same day (The Verge; Microsoft 365 blog).
  • Headlines: stronger coding & “agentic” task execution, long-context (up to 400K tokens in the API), and an automatic router in ChatGPT that decides when to “think hard” vs. go fast (OpenAI; The Verge).
  • API pricing: GPT-5 $1.25/M input and $10/M output tokens; Mini and Nano are cheaper (OpenAI).
  • Early benchmarks (OpenAI): SWE-bench Verified 74.9%; Aider Polyglot 88%; τ²-bench (tool use, telecom) 96.7%.
  • Safety: shift from hard refusals to safe-completions; fewer hallucinations; still not AGI or continuously learning (OpenAI; major press).

Table of Contents

  1. What is GPT-5?
  2. What’s new vs GPT-4/4o
  3. Expert takes
  4. Potential use-cases
  5. Pricing & availability
  6. Benchmarks (sourced)
  7. Safety, policy & compliance
  8. Competitive landscape
  9. Getting ready for GPT-5 (checklist + pros/cons)
  10. FAQs

1) What is GPT-5?

OpenAI’s GPT-5 is the new flagship across ChatGPT and the API. In ChatGPT, a router quietly decides whether to answer quickly or invoke deeper reasoning, so most users don’t have to pick models manually (OpenAI; The Verge). Microsoft rolled GPT-5 into Microsoft 365 Copilot and Copilot Studio on day one for enterprise scenarios (Microsoft 365 blog).

Sources: OpenAI overview; developers post; The Verge; Microsoft 365 blog. OpenAI+1The VergeMicrosoft

Documents and code streaming into an AI core symbolizing GPT-5’s long context window

2) What’s new vs GPT-4/4o

Highlights

  • Long context in API (up to 400K tokens; max output 128K).
  • Agentic tool use with better sequential/parallel calls; stronger front-end/code generation.
  • New controls: reasoning_effort and verbosity.
  • In ChatGPT, the router reduces UX friction for casual users (OpenAI; Business Insider).

Quick comparison (skimmable)

  • GPT-5 → Text & vision (voice in ChatGPT), up to 400K tokens; excels at coding, UI generation, and multi-step tool use (OpenAI).
  • GPT-4o → Real-time text/vision/audio with very low latency; great for live audio/vision (OpenAI).
  • Claude 3.5 Sonnet → Text+image; 200K context; strong writing/coding (Anthropic).
  • Gemini 2.5 Pro → Native multimodal; 1M context (2M “coming soon” per Google) (Google).

Sources: OpenAI model + dev posts; Anthropic; Google; Business Insider UX angle. OpenAI+4OpenAI+4OpenAI+4Business Insider

3) Expert takes

  • Sam Altman (OpenAI) told press GPT-5 is a “significant step,” yet still not AGI; the big win is practicality (The Verge).
  • Nick Turley (Head of ChatGPT) said “the vibes are really good,” pointing to the router’s benefit for everyday users (The Verge).
  • Jared Spataro (Microsoft): Copilot routes to GPT-5’s deeper reasoning when prompts demand it (Microsoft 365 blog).

Sources: The Verge; Microsoft 365 blog. The VergeMicrosoft

4) Potential use-cases

Developers & product

  • Generate front-ends, components, and internal tools from a short brief; cleaner diffs and fewer tool-calling errors (OpenAI dev post).
  • Agentic chains for RAG, ETL, research, and automation with better sequential/parallel tool calling (OpenAI dev post).

Marketing & sales

  • Multi-format campaign sets (ads, landing pages, outreach) from one brief; Copilot brings work context (Microsoft 365 blog).

Support & ops

  • Long-context case reviews; safer guidance on sensitive queries via safe-completions (OpenAI system card/safety note).

Sources: OpenAI dev + safety notes; Microsoft. OpenAI+1Microsoft

Diagram of an AI agent chaining tools—search, retrieve, summarize, and generate UI.

5) Pricing & availability

  • ChatGPT: GPT-5 available to free users with caps; higher tiers raise limits (major press coverage).
  • API: gpt-5 $1.25/M input and $10/M output; gpt-5-mini $0.25/$2; gpt-5-nano $0.05/$0.40 (OpenAI dev post).
  • Enterprise: Microsoft 365 Copilot & Copilot Studio support GPT-5 now (Microsoft 365 + Tech Community blogs).

Sources: OpenAI developer pricing; Wired/The Verge for availability context; Microsoft 365 + Tech Community. OpenAIThe VergeMicrosoftTECHCOMMUNITY.MICROSOFT.COM

6) Benchmarks (sourced)

OpenAI reports:

  • SWE-bench Verified: 74.9% (bug-fix tasks).
  • Aider Polyglot: 88% (code editing diffs).
  • τ²-bench (telecom tool-use): 96.7%.
    Methodology and safety evaluation details are in the GPT-5 system card; independent replications will take time.

What’s New vs GPT-4/4o (and a quick competitor)

At a glance: more reliable reasoning, bigger context in API, new safety training, and a developer-friendly API with verbosity and reasoning_effort controls. (Source: OpenAI) OpenAI

Three neutral model cards comparing modality, context window and latency

Feature comparison

ModelModality (core)Max context (API)Latency classNotable capabilitiesSource/date
GPT-5Text & Vision (Voice in ChatGPT)400K (272K in + 128K out)Reasoning + fast paths via routerAgentic tool use, front-end/UI generation, verbosity & reasoning_effort, custom toolsOpenAI (Aug 2025) (OpenAI)
GPT-4oReal-time text, vision, audioLow-latency multimodalStrong live vision/audio, cheaper than GPT-4 Turbo at launchOpenAI (May 2024) (OpenAI)
Claude 3.5 SonnetText, image200KFast/steadyStrong writing & coding; widely used via Bedrock/VertexAnthropic (Jun–Aug 2024) (Anthropic, Amazon Web Services, Inc.)
Gemini 2.5 ProNative multimodal (text, image, audio, video)1M (2M “coming soon”)Multiple tiersLong-context analysis and deep research modesGoogle (Mar 2025) (blog.google)

Sources: OpenAI dev post; system card. OpenAI+1

A shield around an AI response representing GPT-5’s safe-completions approach

7) Safety, policy & compliance

OpenAI is moving from blanket refusals to safe-completions—staying helpful within constraints on sensitive/dual-use prompts. The system card cites reduced hallucinations and more honest behavior vs earlier models. OpenAI leadership and outside coverage stress GPT-5 is not AGI and does not learn continuously after deployment.

Practical tips: scope tools/retrieval; log tool calls; PII redaction/DLP where required; keep human review for regulated outputs.

Sources: OpenAI system card + safe-completions; The Vergecast discussion. OpenAIThe Verge

8) Competitive landscape (neutral)

  • Anthropic Claude 3.5 Sonnet — 200K context; strong long-form reliability; widely available via Bedrock/Vertex.
  • Google Gemini 2.5 Pro — native multimodality; 1M context (2M “coming soon”); deep research focus.
    Positioning: GPT-5 leans into agentic coding + router UX; Claude emphasizes consistency in long-form tasks; Gemini pushes ultra-long context.

Sources: Anthropic; Google. OpenAI+1

9) Getting ready for GPT-5

Quick-start checklist

  • Map GPT-4/4o calls → gpt-5 family (gpt-5, mini, nano).
  • Add reasoning_effort + verbosity; log cost/latency trade-offs.
  • Harden tool calling (sequential/parallel), add retries/guardrails.
  • Validate long-context (64K → 400K) with your data and retrieval.
  • Update UX copy to explain safe-completions and escalation paths.
  • Turn on prompt caching/batch where it fits.

Pros

  • Stronger coding & agentic tasks; long-context API; safer answers; broad ecosystem (ChatGPT, Copilot).

Cons

  • Higher costs without routing/controls; still imperfect hallucination control; not AGI.

Sources: OpenAI dev + system card; Microsoft 365 blog. OpenAI+1Microsoft

Blogger in computer

10) FAQs

What is GPT-5?
OpenAI’s latest flagship for ChatGPT and the API, emphasizing coding, agentic tool use, and safer responses (OpenAI). OpenAI

Is GPT-5 available to free users?
Yes, with usage caps; paid tiers raise limits (The Verge/Wired coverage). The Verge

What’s the context window?
Up to 400K tokens in the API; 128K max output (OpenAI). OpenAI

How much does GPT-5 cost in the API?
$1.25/M input and $10/M output tokens; Mini and Nano are cheaper (OpenAI). OpenAI

Is GPT-5 better at coding?
OpenAI reports 74.9% on SWE-bench Verified and other gains (OpenAI). OpenAI

Does GPT-5 replace GPT-4o?
In ChatGPT, the router picks the path; 4o remains available in some products (The Verge). The Verge

What is “safe-completions”?
A method to give helpful, constrained answers on sensitive queries rather than blunt refusals (OpenAI). OpenAI

Can GPT-5 learn continuously after deployment?
No—OpenAI and coverage note it doesn’t continuously learn post-deployment (press/system card). The Verge

Is GPT-5 in Microsoft Copilot / Copilot Studio?
Yes—rolling out now across Microsoft 365 Copilot and Copilot Studio (Microsoft 365 + Tech Community blogs). MicrosoftTECHCOMMUNITY.MICROSOFT.COM

How does GPT-5 compare to Claude/Gemini?
GPT-5 emphasizes agentic coding + router UX; Claude 3.5 offers 200K context; Gemini 2.5 Pro offers 1M context (Anthropic; Google). OpenAI+1

Conclusion

GPT-5 is a meaningful upgrade: better code, more stable tool use, longer context, and an interface that hides model complexity. It’s not magic—safety isn’t solved and it’s not AGI—but it’s a practical step forward for teams that ship with AI. Start migrating targeted workloads, measure cost/latency with the new knobs, and keep a human review loop wherever stakes are high.

References

Google — Gemini 2.5: Our most intelligent AI model (Mar 25, 2025). https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ blog.google

OpenAI — GPT-5 is here (Aug 7, 2025). https://openai.com/gpt-5/ OpenAI

OpenAI — Introducing GPT-5 for developers (Aug 7, 2025). https://openai.com/index/introducing-gpt-5-for-developers/ OpenAI

OpenAI — GPT-5 system card & Safe-completions (Aug 7, 2025). https://openai.com/index/gpt-5-system-card/ ; https://openai.com/index/gpt-5-safe-completions/ OpenAI+1

The Verge — GPT-5 is being released to all ChatGPT users (Aug 7, 2025). https://www.theverge.com/openai/748017/gpt-5-chatgpt-openai-release The Verge

Microsoft 365 Blog — Available today: GPT-5 in Microsoft 365 Copilot (Aug 7, 2025). https://www.microsoft.com/en-us/microsoft-365/blog/2025/08/07/available-today-gpt-5-in-microsoft-365-copilot/ Microsoft

GitHub — GPT-5 public preview for GitHub Copilot (Aug 7, 2025). https://github.blog/changelog/2025-08-07-openai-gpt-5-is-now-in-public-preview-for-github-copilot/ The GitHub Blog

Wired — OpenAI finally launched GPT-5 (Aug 7, 2025). https://www.wired.com/story/openais-gpt-5-is-here/ WIRED

The Guardian — OpenAI says latest ChatGPT upgrade is big step… but still can’t do humans’ jobs (Aug 7, 2025). https://www.theguardian.com/technology/2025/aug/07/openai-chatgpt-upgrade-big-step-forward-human-jobs-gpt-5 The Guardian

Anthropic — Introducing Claude 3.5 Sonnet (Jun 20, 2024). https://www.anthropic.com/news/claude-3-5-sonnet Anthropic

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