GPT-5.4 vs GPT-4o Audio

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.

1. True multimodal audio model

• Accepts raw audio as input and produces audio or text as output.
• Enables hands-free, voice-first app experiences.

2. Natural real-time speech interaction

• Low-latency audio generation suitable for conversational agents.
• Great for voice assistants, phone bots, and interactive voice UI.

3. Large 128K context window

• Supports long conversations, call transcripts, instructions, or multi-part interactions.
• Ideal for building persistent voice agents or phone workflows.

4. High-output capacity

• Up to 16,384 max output tokens for extended responses or long explanations.
• Suitable for complex reasoning tasks in voice format.

5. Hybrid text + audio workloads

• Combine audio input/output with text prompts, instructions, or structured control.
• Useful for customer support bots, spoken form systems, IVR replacements, etc.

6. Compatible with the latest APIs

• Works with Chat Completions, Responses API, Realtime API, and Assistants.
• Supports streaming, function calling, and advanced developer tooling.

7. Strong performance for a preview model

• High reasoning and expression abilities relative to most audio-capable models.
• Designed for production-style experimentation prior to full release.

8. Ideal for next-gen voice applications

• Build lifelike AI agents, interview bots, tutoring systems, and spoken knowledge tools.
• Perfect for startups building audio-first user experiences.