The go-to choice for native voice AI applications, but overkill and potentially costly for anything without real audio requirements.
45
Coding
50
Writing
40
Research
0
Images
42
Value
62
Long Context
Use this when
Building voice assistants, real-time spoken dialogue systems, and applications that need to process or generate natural speech end-to-end.
Skip this if
You're building text-only applications or need the cheapest possible inference, as standard GPT-4o mini or similar budget models will outperform it on cost with equivalent text quality.
Native audio input and output without transcription intermediary, reducing latency and preserving tone/emotion
Understands vocal nuance, speaker intent, and prosody that text-based models miss entirely
128K context window supports extended voice conversations without memory truncation
Backed by GPT-4o's strong general reasoning, so audio interactions aren't dumbed down
Weaknesses
Audio token pricing can balloon costs quickly — spoken audio uses significantly more tokens than equivalent text
Not competitive for purely text-based tasks where standard GPT-4o or Claude Sonnet 4.6 are cheaper and equally capable
Limited availability and immature tooling compared to text-only API endpoints
Monthly cost estimate
See what OpenAI: GPT Audio actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$2.50
Output cost
$5.00
Total / month
$7.50
Based on OpenAI: GPT Audio API pricing: $2.5/1M input · $10/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
OpenAI: GPT Audio pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
Ready to try it?
Start using OpenAI: GPT Audio
Building voice assistants, real-time spoken dialogue systems, and applications that need to process or generate natural speech end-to-end.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
OpenAIBalanced
OpenAI: GPT-5
GPT-5 is OpenAI's flagship multimodal model, superseding GPT-4o with significantly improved reasoning, instruction-following, and knowledge breadth. It handles text, images, and complex multi-step tasks with state-of-the-art performance across most benchmarks.
Verdict
OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability.
Quality score
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
Best for high-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
Context
400k tokens
Pricing is asymmetric: cheap on input ($1.25/1M) but expensive on output ($10/1M), so it favors read-heavy or summarization tasks over verbose generation. The 400K context window is one of the largest available at this price tier. Supersedes GPT-4o, which remains available at lower cost for lighter workloads.
FlagshipMultimodalLong ContextOpenAIReasoning
Best for
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
GPT-5 Chat is OpenAI's flagship conversational model, succeeding GPT-4o with improved reasoning, instruction-following, and multimodal capabilities. It targets professional and enterprise use cases where output quality matters more than cost.
Verdict
A polished, capable flagship that earns its place but faces stiff competition at its price point.
Quality score
75%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
Best for complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.
Context
128k tokens
Pricing is asymmetric — input is relatively affordable at $1.25/1M but output at $10/1M can accumulate quickly in agentic or verbose-output workflows. Cached input pricing may apply through the OpenAI API. Not to be confused with GPT-5 reasoning variants (o-series) which use chain-of-thought and have separate pricing.
FlagshipMultimodalOpenAIProfessionalGPT-5
Best for
Complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.
Gemini 3 Flash Preview is Google's budget-tier multimodal model optimized for high-throughput, low-latency tasks at scale. It offers a massive 1M token context window at aggressive pricing, making it a strong contender for cost-sensitive production workloads.
Verdict
A fast, affordable workhorse for long-context and high-volume tasks — just don't build critical systems on a Preview model.
Quality score
74%
Pricing
$0.50/1M in
$3.00/1M out
Speed
Very fast
Best for high-volume document processing, summarization pipelines, and long-context tasks where cost efficiency matters more than frontier-level reasoning.
Context
1.0M tokens
This is a preview model and may have limited availability, unstable rate limits, and pricing that changes before general availability. Output cost at $3/1M is notably higher than input cost, so applications generating long outputs should budget accordingly.
BudgetLong ContextFastMultimodalPreview
Best for
High-volume document processing, summarization pipelines, and long-context tasks where cost efficiency matters more than frontier-level reasoning.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT Audio — added to UseRightAI
OpenAI: GPT Audio (OpenAI) is now indexed. The go-to choice for native voice AI applications, but overkill and potentially costly for anything without real audio requirements.
OpenAI: GPT Audio is best for building voice assistants, real-time spoken dialogue systems, and applications that need to process or generate natural speech end-to-end.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid OpenAI: GPT Audio?
You're building text-only applications or need the cheapest possible inference, as standard GPT-4o mini or similar budget models will outperform it on cost with equivalent text quality.
What is a cheaper alternative to OpenAI: GPT Audio?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to OpenAI: GPT Audio?
Google: Gemini 3 Flash Preview is the better pick when response time matters more than maximum depth or premium quality.
Newsletter
Get notified when OpenAI: GPT Audio pricing changes
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
