GPT-5.5 vs GPT-5.4
Compare pricing, context windows, and strengths for GPT-5.5 by OpenAI and GPT-5.4 by OpenAI - and see how to put either to work in Appaca.
GPT-5.5
OpenAI's smartest and most capable model yet for agentic coding, knowledge work, and computer use, delivering a new class of intelligence at GPT-5.4 latency.
View GPT-5.5GPT-5.4
OpenAI's frontier model for complex professional work with best intelligence at scale for agentic, coding, and professional workflows.
View GPT-5.4GPT-5.5 vs GPT-5.4 at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | GPT-5.4 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Text |
| Context window | 1M tokens | 1.05M tokens |
| Input price | $5 / 1M tokens | $2.5 / 1M tokens |
| Output price | $30 / 1M tokens | $15 / 1M tokens |
| Status | Current | Current |
How GPT-5.5 and GPT-5.4 differ
What the numbers mean in practice when choosing between GPT-5.5 and GPT-5.4.
Our take
GPT-5.5 is the smarter model at the same latency, but GPT-5.4 costs half as much ($2.50 vs $5 input, $15 vs $30 output per million tokens). If your workload is complex agentic coding or frontier knowledge work, the upgrade pays for itself in fewer retries and fewer tokens per task. For routine drafting and summarisation, GPT-5.4 remains excellent value.
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GPT-5.5 outperforms GPT-5.4 on Terminal-Bench 2.0, Expert-SWE, and SWE-Bench Pro while using fewer tokens per task.
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GPT-5.4's 1.05M context is marginally larger than GPT-5.5's 1M - effectively a wash in practice.
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A common pattern in Appaca is GPT-5.4 for everyday tools and GPT-5.5 for the hardest reasoning steps.
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GPT-5.4 is 50% cheaper on input tokens ($2.5 vs $5 per million), which adds up quickly in document-heavy workloads.
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GPT-5.4 is 50% cheaper on output tokens ($15 vs $30 per million) - the bigger factor for tools that generate long documents.
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Context windows are close: GPT-5.5 handles 1M tokens and GPT-5.4 handles 1.05M tokens.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.5
1. Strongest Agentic Coding Model
- State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
- Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.
2. Higher Intelligence at GPT-5.4 Latency
- Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
- Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.
3. Powerful for Knowledge Work & Computer Use
- Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
- Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.
4. Scientific Research Co-Scientist
- Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
- Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.
GPT-5.4
1. Best Intelligence at Scale
- OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
- Built for complex professional work where stronger reasoning and higher answer quality matter.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
- Accepts both text and image inputs while producing text output.
3. Massive Context for Long-Running Work
- 1.05M token context window supports very large codebases, documents, and multi-step workflows.
- Allows up to 128 k output tokens for long-form answers and larger generations.
4. Updated Knowledge & Broad Tool Support
- Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
- Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.
Use GPT-5.5 or GPT-5.4 - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.5 or GPT-5.4 - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5.5 or GPT-5.4. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on GPT-5.4, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5.5 or GPT-5.4 - connected to the tools you already use.
Related comparisons
See how GPT-5.5 and GPT-5.4 stack up against other models in the directory.
FAQs
GPT-5.4 is generally cheaper: $2.5 input / $15 output per million tokens, versus $5 / $30 for GPT-5.5. Actual cost depends on how many tokens your workload reads and writes.
GPT-5.4 has the larger context window at 1.05M tokens, compared to 1M tokens for GPT-5.5. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
GPT-5.5 is the smarter model at the same latency, but GPT-5.4 costs half as much ($2.50 vs $5 input, $15 vs $30 output per million tokens). If your workload is complex agentic coding or frontier knowledge work, the upgrade pays for itself in fewer retries and fewer tokens per task. For routine drafting and summarisation, GPT-5.4 remains excellent value.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5.5, GPT-5.4, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT-5.5 or GPT-5.4
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.