Analysis Summary
GPT-5.4 is a high-end OpenAI model with a 53.1 intelligence index and a 71.1 coding index, backed by a 1.05 million token context window. Vision, file handling, tool use, and function calling give it a broad operational range beyond text generation.
That combination makes it suitable for software engineering, long-document analysis, research-heavy SEO, client-facing content, and multi-step agents. The agentic result is strong rather than class-leading, but the overall capability profile is broad enough for a primary agency model. Its input and output prices are also more manageable than the Pro variant.
Design for Online could place GPT-5.4 on demanding client workflows immediately, while routing routine volume to a cheaper model. It is especially attractive where one model must handle documents, code, images, and structured actions.
Assessed September 7, 2026
Editorial notes
GPT-5.4 combines frontier reasoning, strong coding, a 1.05 million token context, vision, and reliable tool integration at a comparatively practical price. It is a strong default for complex client automation, software work, and long-form analysis.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.4 combines frontier reasoning, strong coding, a 1.05 million token context, vision, and reliable tool integration at a comparatively practical price. It is a strong default for complex client automation, software work, and long-form analysis.
How OpenAI: GPT-5.4 compares
OpenAI: GPT-5.4 ranks #9 of 439 AI models we track for overall intelligence, #32 of 210 for coding, #30 of 192 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $2.50 per million input tokens it is cheaper than 13% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.50 | $0.002500 |
| Output | $15.00 | $0.015000 |
What would OpenAI: GPT-5.4 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 781 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.4 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.4
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for..
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<a href="https://designforonline.com/ai-models/openai-gpt-5-4/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-4&theme=dark" alt="OpenAI: GPT-5.4, ranked #17 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/openai-gpt-5-4/"><img src="https://designforonline.com/?aiml_badge=openai-gpt-5-4&theme=light" alt="OpenAI: GPT-5.4, ranked #17 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about OpenAI: GPT-5.4
How much does OpenAI: GPT-5.4 cost?
OpenAI: GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens.
What is the context window of OpenAI: GPT-5.4?
OpenAI: GPT-5.4 has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.4 good for coding?
On our coding benchmark index, OpenAI: GPT-5.4 ranks #32 of 210 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.4 do?
OpenAI: GPT-5.4 supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.4?
OpenAI: GPT-5.4 is developed by OpenAI and was released on March 5, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 21, 2026 8:38 pm