GPT-4o Audio vs Grok 4
Compare pricing, context windows, and strengths for GPT-4o Audio by OpenAI and Grok 4 by xAI - 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 AudioGrok 4
A flagship multimodal model excelling in natural language, math, and deep reasoning with unmatched all-around performance.
View Grok 4GPT-4o Audio vs Grok 4 at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4o Audio | Grok 4 |
|---|---|---|
| Provider | OpenAI | xAI |
| Model type | Audio | Text |
| Context window | 128K tokens | 256K tokens |
| Input price | $2.5 / 1M tokens | $3 / 1M tokens |
| Output price | $10 / 1M tokens | $15 / 1M tokens |
| Audio input price | $40 / 1M tokens | - |
| Audio output price | $80 / 1M tokens | - |
| Status | Current | Current |
How GPT-4o Audio and Grok 4 differ
What the numbers mean in practice when choosing between GPT-4o Audio and Grok 4.
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GPT-4o Audio is 17% cheaper on input tokens ($2.5 vs $3 per million), which adds up quickly in document-heavy workloads.
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GPT-4o Audio is 33% cheaper on output tokens ($10 vs $15 per million) - the bigger factor for tools that generate long documents.
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Grok 4's 256K tokens context window is roughly 2x larger than GPT-4o Audio's 128K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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These are different kinds of model: GPT-4o Audio is an audio model while Grok 4 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.
Grok 4
1. Flagship-level reasoning and math performance
- Designed for world-class reasoning depth, precision, and multi-step logical chains.
- Excels at STEM, mathematics, symbolic operations, proofs, and analytical workloads.
2. Powerful multimodal understanding
- Supports text, images, and other modalities.
- Handles cross-modal reasoning tasks requiring context synthesis.
3. Extreme capability across diverse tasks
- Positioned as a top-tier 'jack of all trades' model.
- Strong in natural language, coding, knowledge retrieval, and structured generation.
4. Large 256K context window
- Enables analysis of long documents, entire codebases, multi-document packs, and extensive agent sessions.
- Supports workloads that require persistent reasoning across large inputs.
5. Advanced developer tooling support
- Function calling for tool-augmented workflows.
- Structured outputs for predictable, schema-controlled generation.
- Integrates smoothly with agents and complex automation pipelines.
6. Efficient caching for cost reduction
- Cached input tokens discounted to $0.75 / 1M tokens.
- Encourages RAG, retrieval pipelines, and multi-step conversational workflows.
7. Production-ready performance
- Stable rate limits: 480 requests per minute.
- High token throughput: 2,000,000 tokens per minute.
- Available across multiple xAI regional clusters.
8. Optional Live Search augmentation
- Add-on: $25 per 1K sources.
- Enhances factual accuracy and real-time information retrieval.
Use GPT-4o Audio or Grok 4 - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4o Audio or Grok 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-4o Audio or Grok 4. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4o Audio, test the same tool on Grok 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-4o Audio or Grok 4 - connected to the tools you already use.
Related comparisons
See how GPT-4o Audio and Grok 4 stack up against other models in the directory.
FAQs
GPT-4o Audio is generally cheaper: $2.5 input / $10 output per million tokens, versus $3 / $15 for Grok 4. Actual cost depends on how many tokens your workload reads and writes.
Grok 4 has the larger context window at 256K tokens, compared to 128K tokens for GPT-4o Audio. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
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 Grok 4, 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, Grok 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-4o Audio or Grok 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.