Only frontier model that can control a desktop via API (click, type, navigate)
Strong at multi-step agentic tasks and autonomous workflows
Competitive coding performance with 74.9% SWE-bench score
Weaknesses
Claude Opus 4.7 and GPT-5.5 now outperform it on current premium coding benchmarks
Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research
Real-world use cases
What people actually use GPT-5.4 for.
Building agents that browse the web and operate desktop software autonomously via the API
Complex multi-step reasoning for financial modeling and decision analysis
Autonomous test-run-debug loops for coding with computer-use control
How GPT-5.4 compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 — Against GPT-4 (OpenAI), GPT-5.4 runs about 81% cheaper per token and takes 33.2x the context. Take GPT-5.4 unless you specifically need what GPT-4 does better.
vs GPT-4 (older v0314) — Against GPT-4 (older v0314) (OpenAI), GPT-5.4 runs about 81% cheaper per token and takes 33.2x the context. Take GPT-5.4 unless you specifically need what GPT-4 (older v0314) does better.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-5.4 runs about 56% cheaper per token and takes 2.1x the context. Take GPT-5.4 unless you specifically need what GPT-4 Turbo does better.
Price History
GPT-5.4 pricing over time
→0% since May 8
43 data points · tracked daily since May 8, 2026
Ready to try it?
Start using GPT-5.4
Agentic workflows, desktop automation, and complex multi-step reasoning. Start free — no card required.
GPT-4 is OpenAI's original flagship large language model, released in March 2023, offering strong reasoning and instruction-following across text tasks. It represents the foundational GPT-4 release before later variants like GPT-4 Turbo or GPT-4o improved speed, cost, and context length.
Verdict
A once-groundbreaking model now badly outclassed by cheaper, faster, and more capable successors — only use it if you have no choice.
Quality score
51%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
At $30/$60 per million tokens, this is one of the most expensive text-only models available. The 8,191-token context window is a hard ceiling that makes it unsuitable for most document-processing tasks. OpenAI continues to offer it for API backward compatibility but actively recommends migrating to GPT-4o or GPT-4 Turbo. New projects should not default to this model.
Legacy flagshipText-onlyHigh costOpenAIGPT-4
Best for
Teams or workflows locked into the original GPT-4 API that require reliable, high-quality text reasoning without needing long context or multimodal input.
GPT-4 v0314 is a frozen snapshot of the original GPT-4 release from March 2023, preserved for reproducibility and regression testing. It offers the same core reasoning capabilities as early GPT-4 but lacks all subsequent improvements, fine-tuning updates, and safety refinements.
Verdict
An expensive museum piece: only justified if you need this exact model snapshot for legacy reproducibility.
Quality score
40%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
This is a frozen March 2023 snapshot of GPT-4, not a current model. OpenAI may deprecate legacy snapshots with limited notice. The 8,191-token context window is a hard constraint. Cost is identical to much more capable current models, making this a poor choice for new projects.
LegacyGPT-4Version-lockedResearchDeprecated
Best for
Reproducible research or legacy workflows that require consistent, version-locked GPT-4 outputs.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
GPT-5.4 costs $2.5 per million input tokens and $15 per million output tokens on the API, with cached input at $0.25 per million. A month of 10M input and 2M output tokens runs about $55.00 at list price, before any batch or caching discounts.
What is the context window of GPT-5.4?
GPT-5.4 has a 1.1M tokens context window, with up to 128k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of GPT-5.4?
GPT-5.4's training data runs through August 31, 2025, and the model was released on March 5, 2026. For anything after that date it needs web search or documents in the prompt.
What is GPT-5.4 best for?
GPT-5.4 is best for agentic workflows, desktop automation, and complex multi-step reasoning. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
When should I avoid GPT-5.4?
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
What is a cheaper alternative to GPT-5.4?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5.4's $2.50/1M/1M — roughly 36% less per token all in. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5.4's pricing is the thing stopping you.
What is a faster alternative to GPT-5.4?
GPT-4 — balanced against GPT-5.4's balanced, with 8k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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