OpenAI released GPT-5.4 on March 5, 2026 — and it is not a minor update. This is the first general-purpose OpenAI model with native computer-use capabilities built in. It launched alongside a 1-million-token context window, configurable reasoning effort, and benchmarks that directly challenge Claude Opus 4.6. GPT-5.4 Thinking is rolling out to ChatGPT Plus subscribers (approximately ₹1,700/month) right now, replacing GPT-5.2 Thinking as the default reasoning model.
GPT-5.4 consolidates into one model what OpenAI had previously spread across multiple releases: general reasoning from GPT-5.2, elite coding from GPT-5.3-Codex, and research capabilities from preview builds. OpenAI calls it their most capable and efficient frontier model for professional work.
What Is Genuinely New in GPT-5.4
- Native computer use — The first general-purpose OpenAI model capable of operating computers directly: navigating desktops, controlling browsers, and executing multi-step workflows. On OSWorld-Verified it achieves 75.0%, surpassing the human benchmark of 72.4%.
- 1-million-token context (API and Codex) — Roughly 750,000 words in one conversation. Note: tokens above 272K are charged at double rate, so architect context windows intentionally.
- Upfront planning in ChatGPT — GPT-5.4 Thinking shows a reasoning plan before the full response, letting you redirect mid-response.
- Tool Search — Cuts token costs 47% in tool-heavy workflows by helping the model find the right tools without burning unnecessary context.
- Configurable reasoning effort — Dial reasoning depth per request, trading cost for depth. A meaningful API advantage for production systems.
- 33% fewer hallucinations — Measured against real user-flagged errors, not synthetic benchmarks. Full responses are 18% less likely to contain errors vs GPT-5.2.
GPT-5.4 Benchmarks vs Claude Opus 4.6
| Benchmark | GPT-5.4 | Details |
|---|---|---|
| SWE-bench Verified (coding) | ~79% | 80.8% (leads) |
| OSWorld-Verified (computer use) | 75.0% (new SOTA) | 72.7% |
| ARC-AGI-2 (novel reasoning) | 73.3% (Pro: 83.3%) | 68.8% |
| GDPval (professional work) | 83.0% (new SOTA) | Not published |
| GPQA Diamond (science) | 92.8% | 91.3% |
| Factual accuracy | 33% fewer errors vs GPT-5.2 | Strong |
Pricing for Indian Users (March 2026)
| Tier | What You Get | Details |
|---|---|---|
| ChatGPT Plus | GPT-5.4 Thinking, standard limits | ~₹1,700/month |
| ChatGPT Pro | Unlimited GPT-5.4 + GPT-5.4 Pro | ~₹17,000/month |
| OpenAI API (standard) | $10 input / $30 output per MTok | Pay per use |
| OpenAI API (Pro tier) | $30 input / $180 output per MTok | Pay per use |
| LumiChats (all models) | GPT-5.4 + 40+ other models | ₹69/day |
What GPT-5.4 Means Practically for Indian Students
The 33% hallucination reduction is the most practically significant improvement for students. For competitive exam preparation where factual accuracy is non-negotiable — UPSC current affairs, JEE physics, NEET Biology — a meaningfully more reliable model changes the calculus on how much you need to independently verify AI outputs.
The computer use capability matters more for developers than for students at this stage. But for B.Tech students building AI-powered portfolio applications, GPT-5.4's native computer use API opens new project categories: agents that interact with graphical applications, automated data collection workflows, and end-to-end software testing agents.
The most honest comparison: Claude Opus 4.6 still leads SWE-bench Verified for complex multi-file coding. GPT-5.4 leads on computer use and novel reasoning. At roughly 40% of Claude Opus's per-token output cost with comparable performance across most benchmarks, GPT-5.4 changes the cost calculus for production systems significantly.
Pro Tip: GPT-5.4 Thinking in ChatGPT is available to Plus subscribers now through the model picker. GPT-5.2 Thinking remains in Legacy Models until June 5, 2026. If you already have ChatGPT Plus at ₹1,700/month, you can upgrade your model without any additional cost — just switch in the model picker.