GPT-5.4 vs GPT-3.5 Turbo
Compare GPT-5.4 and GPT-3.5 Turbo. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | GPT-3.5 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 16,385 tokens |
| Input Cost | $2.50/ 1M tokens | $0.50/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $1.50/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.4
OpenAI1. 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.
GPT-3.5 Turbo
OpenAI1. Extremely low-cost text model
- One of the cheapest legacy models available.
- Suitable for very high-volume workloads with simple requirements.
2. Good for lightweight NLP tasks
- Classification, summarization, rewriting, paraphrasing, intent detection.
- Works for simple logic tasks and short reasoning sequences.
3. Works well for basic chatbots
- Optimized for Chat Completions API, originally powering early ChatGPT use cases.
- Good for rule-based or templated conversation flows.
4. Stable and predictable outputs
- Legacy behavior makes it suitable for systems built years ago that rely on its quirks.
- Good for backward compatibility or long-term enterprise pipelines.
5. Supports fine-tuning
- Useful for teams maintaining older fine-tuned GPT-3.5 models.
- Allows domain-specific compression of older datasets.
6. Limited capabilities compared to newer models
- No vision, no audio, no streaming, and no function calling.
- Much weaker reasoning and correctness vs GPT-4o mini or GPT-5.1.
7. Small context window (16K)
- Limited for multi-document tasks or long conversations.
- Best used for short, simple prompts or structured tasks.
8. Recommended migration path
- OpenAI explicitly recommends using GPT-4o mini instead.
- 4o mini is cheaper, smarter, faster, multimodal, and far more capable.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.4
textCTR Meta Title + Description Writer
Write multiple CTR-focused meta title/description variants aligned to intent and differentiators.
Craft Catchy Sales Emails
Write high-converting sales emails with strong hooks, clear value, and a single focused CTA-optimized for your audience and offer.
Marketing Skills Matrix (Hiring + Training Plan)
Create a marketing skills matrix that identifies the competencies needed to communicate your USP and solve evolving persona challenges.
Best for GPT-3.5 Turbo
textCode Review Assistant
Get constructive feedback on your code regarding performance, security, and readability.
Marketing Budget & Resource Allocation Plan
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Customer Data Insights (Segmentation + Messaging)
Analyze customer data patterns and convert insights into targeted messaging that emphasizes your USP and addresses persona challenges.