OpenAI: GPT-4o Audio
Analysis Summary
GPT-4o Audio is a multimodal OpenAI variant supporting text and audio in both directions, with tool use and function calling. Its measured reasoning, coding, mathematics, and live coding results are limited, so its principal differentiation is interaction modality rather than broad problem-solving strength.
Audio conversation, transcription-oriented workflows, voice interfaces, and lightweight spoken-content processing are the clearest business applications. Function calling may help connect voice interactions to operational systems, but the available data does not support using it for demanding coding, autonomous agents, or complex analysis. The 128K context window is adequate for many conversational tasks but smaller than several newer models in this batch.
Premium input and output pricing makes careful task selection important. Use it when audio interaction is central, not as a general replacement for stronger text models.
Assessed September 7, 2026
Editorial notes
GPT-4o Audio supports text and audio input and output with tools and function calling, but its measured reasoning and coding results are limited and its pricing is high for routine production.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4o Audio supports text and audio input and output with tools and function calling, but its measured reasoning and coding results are limited and its pricing is high for routine production.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
12.8 Intelligence Index·13.1 Coding Index·6 Math Index
How OpenAI: GPT-4o Audio compares
OpenAI: GPT-4o Audio ranks #197 of 438 AI models we track for overall intelligence, #173 of 210 for coding. Its 128K-token context window is larger than 35% of the models we list. At $2.50 per million input tokens it is cheaper than 13% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.50 | $0.002500 |
| Output | $10.00 | $0.010000 |
What would OpenAI: GPT-4o Audio cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4o Audio for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4o Audio
The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs..
Frequently asked questions about OpenAI: GPT-4o Audio
How much does OpenAI: GPT-4o Audio cost?
OpenAI: GPT-4o Audio costs $2.50 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-4o Audio?
OpenAI: GPT-4o Audio has a context window of 128,000 tokens (128K).
Is OpenAI: GPT-4o Audio good for coding?
On our coding benchmark index, OpenAI: GPT-4o Audio ranks #173 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4o Audio do?
OpenAI: GPT-4o Audio supports tool use and function calling.
Who created OpenAI: GPT-4o Audio?
OpenAI: GPT-4o Audio is developed by OpenAI and was released on August 15, 2025.