GPT-4o
Versatile multimodal model that handles image-related workflows and mixed-media prompts well.
The most practical choice for cost-conscious voice application developers who need native audio I/O without compromising too much on intelligence.
Building voice assistants, audio bots, and speech-enabled applications that need real-time audio processing at scale without breaking the budget.
Native audio input and output without requiring separate speech-to-text and text-to-speech pipeline
Very affordable at $0.6/$2.4 per 1M tokens compared to GPT-4o Audio at $2.5/$10 per 1M tokens
128K context window supports extended conversation histories for voice applications
Low-latency audio responses suitable for real-time conversational interfaces
Significantly weaker reasoning and instruction-following than GPT-4o Audio or full GPT-4o
See what OpenAI: GPT Audio Mini actually costs at your usage level
Based on OpenAI: GPT Audio Mini API pricing: $0.6/1M input · $2.4/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
Building voice assistants, audio bots, and speech-enabled applications that need real-time audio processing at scale without breaking the budget.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
Versatile multimodal model that handles image-related workflows and mixed-media prompts well.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT Audio Mini (OpenAI) is now indexed. The most practical choice for cost-conscious voice application developers who need native audio I/O without compromising too much on intelligence.
View modelOpenAI: GPT Audio Mini is best for building voice assistants, audio bots, and speech-enabled applications that need real-time audio processing at scale without breaking the budget.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
You need high-quality complex reasoning, precise code generation, or are building a text-only application where audio capabilities add no value.
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.
GPT-4o Mini is the better pick when response time matters more than maximum depth or premium quality.
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You need high-quality complex reasoning, precise code generation, or are building a text-only application where audio capabilities add no value.
Not competitive with Claude Sonnet 4.6 or Gemini 3.1 Pro on complex text-only tasks
Audio quality and naturalness falls short of dedicated TTS solutions like ElevenLabs or OpenAI's own TTS-1-HD
OpenAI's most affordable production-grade model — faster and cheaper than GPT-4o with strong enough performance for the majority of everyday tasks.
Lower-cost OpenAI model that keeps a solid balance of usefulness, speed, and affordability for everyday tasks.
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