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GPT-5.4
GPT-5.4 पर जाएं
openai.com
GPT-5.4 क्या है?
GPT-5.4 is OpenAI's flagship reasoning model, released on March 5, 2026, and available through ChatGPT, the OpenAI API, and Codex. It is the first general-purpose OpenAI model with native computer-use capabilities — able to observe desktop and browser screenshots, click UI elements, type into fields, and navigate applications without custom integrations. The model scores 75% on the OSWorld computer-use benchmark, surpassing the human expert baseline of 72.4% and making it the first general AI model to do so. It supports a 1 million token context window in the API and introduces tool search, a mechanism that reduces token consumption by 47% in tool-heavy agent workflows.
Developers building multi-tool agentic applications have historically faced two problems: bloated tool catalogs that consume thousands of tokens per call, and fragmented specialist models for coding versus reasoning versus computer navigation. GPT-5.4 collapses the second problem by incorporating the frontier coding capabilities of GPT-5.3-Codex into a single unified model, eliminating routing logic between specialist systems. Tool search addresses the first problem by helping agents identify the correct tool from a large catalog without scanning the full set each call — cutting per-call token costs 47% at scale. For teams using GPT-5.4 in high-volume API pipelines, this cost reduction compounds significantly over millions of monthly calls.
GPT-5.4 is not the right choice for teams whose workflows are purely code-generation at high volume: the standard model is priced at $2.50/$15 per million input/output tokens, compared to $1.25/$10 for GPT-5.3-Codex. If a team does not need computer use or the 1M context window, the Codex model remains a better cost-per-token choice for pure coding tasks. Additionally, GPT-5.2 Thinking will be retired on June 5, 2026, requiring teams on that model to migrate regardless of readiness.
Developers building multi-tool agentic applications have historically faced two problems: bloated tool catalogs that consume thousands of tokens per call, and fragmented specialist models for coding versus reasoning versus computer navigation. GPT-5.4 collapses the second problem by incorporating the frontier coding capabilities of GPT-5.3-Codex into a single unified model, eliminating routing logic between specialist systems. Tool search addresses the first problem by helping agents identify the correct tool from a large catalog without scanning the full set each call — cutting per-call token costs 47% at scale. For teams using GPT-5.4 in high-volume API pipelines, this cost reduction compounds significantly over millions of monthly calls.
GPT-5.4 is not the right choice for teams whose workflows are purely code-generation at high volume: the standard model is priced at $2.50/$15 per million input/output tokens, compared to $1.25/$10 for GPT-5.3-Codex. If a team does not need computer use or the 1M context window, the Codex model remains a better cost-per-token choice for pure coding tasks. Additionally, GPT-5.2 Thinking will be retired on June 5, 2026, requiring teams on that model to migrate regardless of readiness.
संक्षेप में
GPT-5.4 is an AI Agent that unifies frontier reasoning, autonomous computer navigation, coding, and long-document processing in a single model — the first time OpenAI has shipped all four in one general-purpose architecture. It scores 75% on OSWorld computer use, reduces tool-call token costs by 47% via tool search, and processes up to 1 million tokens of context in the API and Codex.
मुख्य विशेषताएं
Native Computer Use
GPT-5.4 can observe desktop and browser screenshots, click interface elements, type into input fields, and navigate menus and applications — all via Playwright and direct mouse/keyboard control through the API and Codex. Scores 75% on OSWorld, exceeding the human expert baseline of 72.4%.
1M Token Context
The API and Codex support up to 1 million tokens of input context, enabling entire large codebases, lengthy legal contracts, or multi-document research corpora to be processed in a single model call without chunking or retrieval pipelines.
Tool Search
A new mechanism that enables agents to identify and invoke the correct tool from large catalogs without scanning the full tool list at every call. In tested tool-heavy workflows, this reduces token consumption by 47% compared to GPT-5.3 under equivalent task loads.
Five Reasoning Levels
Developers can configure reasoning effort from none through xhigh for any API call, trading response latency for reasoning depth. None returns the fastest response; xhigh engages maximum chain-of-thought computation for the hardest tasks.
Codex Integration
The frontier coding capabilities of the previous GPT-5.3-Codex specialist model are incorporated directly into GPT-5.4's unified architecture, eliminating the need for a separate model routing layer for high-performance coding tasks.
GPT-5.4 Pro Variant
A premium inference variant scoring 89.3% on BrowseComp and 83.3% on ARC-AGI-2, available to ChatGPT Pro and Enterprise subscribers and via API at $30/$180 per million input/output tokens. Targeted at the most complex reasoning and research tasks.
फायदे और नुकसान
✅ फायदे
- First Human-Level Computer Use — GPT-5.4 is the first general-purpose AI model to surpass the human expert baseline on OSWorld at 75% — marking a meaningful capability threshold for autonomous desktop and browser navigation that no previous general model has crossed.
- Unified Architecture — Combining coding, reasoning, computer use, and long-document processing in one model eliminates the routing logic, latency penalties, and maintenance overhead of maintaining multiple specialist models for different task types.
- 47% Token Cost Reduction — Tool search cuts per-call token consumption by 47% in tool-heavy agentic workflows compared to GPT-5.3. At millions of monthly API calls, this represents a compounding infrastructure cost saving rather than a marginal optimization.
- Broad Access Tiers — GPT-5.4 Mini is available on the ChatGPT free tier, standard GPT-5.4 on Plus at $20/month, and GPT-5.4 Pro on the $200/month plan — plus API access at per-token pricing — making the model family accessible across significantly different budget levels.
❌ नुकसान
- Higher API Price vs GPT-5.3-Codex — At $2.50/$15 per million input/output tokens, GPT-5.4 costs 100% more per token than GPT-5.3-Codex at $1.25/$10. Teams with pure coding workloads that do not need computer use or 1M context have no cost justification for upgrading.
- 1M Context API-Only — The 1 million token context window is available in the API and Codex only. The standard ChatGPT interface context limit remains unchanged — teams expecting to use long-context processing through ChatGPT directly will not have access to this capability.
- GPT-5.2 Retirement June 2026 — GPT-5.2 Thinking is being retired on June 5, 2026, forcing teams with production pipelines on that model to migrate to GPT-5.4 by that date regardless of current deployment readiness or testing status.
विशेषज्ञ की राय
GPT-5.4 is the strongest option for enterprises that need one model to handle autonomous computer navigation, complex multi-file coding, and long-document reasoning without routing between specialist systems. The core trade-off is cost: at $2.50/$15 per million input/output tokens, teams that use GPT-5.4 only for coding pay a 100% premium versus GPT-5.3-Codex for capabilities they do not use.
अक्सर पूछे जाने वाले सवाल
GPT-5.4 is OpenAI's flagship reasoning model, released March 5, 2026. It is the first general-purpose OpenAI model with native computer-use capabilities and a 1 million token context window in the API, combining frontier coding from GPT-5.3-Codex into a single unified architecture.
GPT-5.4 observes desktop or browser screenshots and takes action using Playwright-based mouse and keyboard control — clicking elements, typing into fields, navigating menus. It is available through the API and Codex only, not through the standard ChatGPT chat interface. It scores 75% on OSWorld, above the human expert baseline of 72.4%.
Both are competitive frontier models. GPT-5.4 leads on computer use at 75% OSWorld and costs less per output token ($15 vs $75 per million). Claude Opus 4.7 leads on long-horizon autonomous coding agent tasks. The right choice depends on whether computer use or extended coding autonomy is the primary workload requirement.
Yes. The OpenAI API is available globally including India. API access requires an OpenAI account and an international payment method. Standard GPT-5.4 is priced at $2.50 per million input tokens and $15 per million output tokens, billed in USD with no regional pricing difference.