GPT-4o Audio vs GPT-4 Turbo
Compare pricing, context windows, and strengths for GPT-4o Audio by OpenAI and GPT-4 Turbo by OpenAI - and see how to put either to work in Appaca.
GPT-4o Audio
Preview multimodal model that accepts and outputs audio, optimized for natural voice interactions and real-time conversational experiences.
View GPT-4o AudioGPT-4 Turbo
Older high-intelligence GPT-4 generation model offering strong reasoning and image input support, now superseded by newer 4o-based models.
View GPT-4 TurboGPT-4o Audio vs GPT-4 Turbo at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4o Audio | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Audio | Text |
| Context window | 128K tokens | 128K tokens |
| Input price | $2.5 / 1M tokens | $10 / 1M tokens |
| Output price | $10 / 1M tokens | $30 / 1M tokens |
| Audio input price | $40 / 1M tokens | - |
| Audio output price | $80 / 1M tokens | - |
| Status | Current | Current |
How GPT-4o Audio and GPT-4 Turbo differ
What the numbers mean in practice when choosing between GPT-4o Audio and GPT-4 Turbo.
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GPT-4o Audio is 75% cheaper on input tokens ($2.5 vs $10 per million), which adds up quickly in document-heavy workloads.
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GPT-4o Audio is 67% cheaper on output tokens ($10 vs $30 per million) - the bigger factor for tools that generate long documents.
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Both models offer the same 128K tokens context window.
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These are different kinds of model: GPT-4o Audio is an audio model while GPT-4 Turbo is a text model, so they often complement each other in a workflow rather than compete.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-4o Audio
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.
GPT-4 Turbo
1. Strong reasoning for its generation
- Next-gen version of GPT-4 designed to be cheaper and faster than the original.
- Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.
2. Image input support
- Accepts images and provides text-only outputs.
- Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.
3. Stable performance
- Predictable model behavior suitable for legacy systems still built on GPT-4.
- Works reliably for established pipelines and enterprise workloads.
4. Large 128K context window
- Handles long documents, multi-file inputs, or extended conversational sessions.
- Allows complex prompt chaining and large instruction sets.
5. Broad endpoint compatibility
- Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
- Supports streaming and function calling.
6. Good choice for cost-controlled GPT-4-class workloads
- Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
- A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.
7. Text-only output simplifies downstream use
- Ensures deterministic outputs for applications that need reliable text generation.
- Good for RAG, data pipelines, automation tools, and enterprise systems.
8. Recommended migration path
- OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
- GPT-4 Turbo remains available for backward compatibility and stability.
Use GPT-4o Audio or GPT-4 Turbo - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4o Audio or GPT-4 Turbo - 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-4o Audio or GPT-4 Turbo. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4o Audio, test the same tool on GPT-4 Turbo, 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-4o Audio or GPT-4 Turbo - connected to the tools you already use.
Related comparisons
See how GPT-4o Audio and GPT-4 Turbo stack up against other models in the directory.
FAQs
GPT-4o Audio is generally cheaper: $2.5 input / $10 output per million tokens, versus $10 / $30 for GPT-4 Turbo. Actual cost depends on how many tokens your workload reads and writes.
They are equal: both GPT-4o Audio and GPT-4 Turbo support a 128K tokens context window.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-4o Audio, test the same tool on GPT-4 Turbo, and switch at any time without rebuilding anything.
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-4o Audio, GPT-4 Turbo, 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-4o Audio or GPT-4 Turbo
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.