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.
Pricing
$2.50/1M in
$10.00/1M out
→0%since May 2026
Context
128k tokens
Speed
Balanced
Audio tokens are counted differently from text tokens — a few seconds of audio can consume hundreds of tokens, so monitor usage carefully. Real-time audio streaming requires WebSocket or Realtime API endpoints, not the standard Chat Completions API. Availability may be limited by tier or region.
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
Real-world use cases
What people actually use GPT Audio for.
Building a customer service voice bot that understands frustrated tones and escalates accordingly
Creating a language learning app where pronunciation and cadence are evaluated natively
Developing a real-time meeting assistant that listens, summarizes, and responds verbally
How GPT Audio compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-5 — Against GPT-5 (OpenAI), GPT Audio costs about 10% more per token and gives up 3.1x on context. GPT-5 is the one to check first if the price difference matters more than the ceiling.
vs GPT-5 Chat — Against GPT-5 Chat (OpenAI), GPT Audio costs about 10% more per token. GPT-5 Chat is the one to check first if the price difference matters more than the ceiling.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), GPT Audio runs about 79% cheaper per token, gives up 8.2x on context and answers faster. Take GPT Audio unless you specifically need what GPT-6 Astra does better.
Price History
GPT Audio pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using 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.
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
3/5 speed
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
3/5 speed
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.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
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.
GPT Audio costs $2.5 per million input tokens and $10 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $45.00 at list price, before any batch or caching discounts.
What is GPT Audio best for?
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 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 GPT Audio?
GPT-5 (OpenAI) at $1.25/1M/1M input against GPT Audio's $2.50/1M/1M — roughly 10% less per token all in. 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. Compare it first if GPT Audio's pricing is the thing stopping you.
What is a faster alternative to GPT Audio?
GPT-5 Chat — balanced against GPT Audio's balanced, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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