Both models report the same input price at $2.5 per 1M tokens.
API cost decision in 10 seconds
GPT Audio vs Nova Premier 1.0
Pick GPT Audio for lower cost; pick Nova Premier 1.0 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT Audio for lower cost; pick Nova Premier 1.0 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT Audio is estimated at $7.5 vs $8.75 for Nova Premier 1.0, saving $1.25 (14.3% lower).
Cost-first pickGPT Audio
Context-first pickNova Premier 1.0
Sample savings$1.2514.3%
10x traffic gap$12.5
Nova Premier 1.0 has more context, but GPT Audio saves $1.25 on the standard workload. At 10x that traffic, the same price gap is about $12.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT Audio stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT Audio | Nova Premier 1.0 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT Audio | $17.5 | $18.75 |
| Balanced workload | 1M input + 1M output | GPT Audio | $12.5 | $15 |
| Output-heavy chatbot | 1M input + 5M output | GPT Audio | $52.5 | $65 |
GPT Audio is $2.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
Nova Premier 1.0 has 872K more context (7.81x larger).
GPT Audio is $1.25 cheaper on the standard workload (14.3% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
both models tie on input price; GPT Audio has the lower output price; Nova Premier 1.0 offers the larger context window. For the 1M input plus 500K output sample, GPT Audio is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $7.5 for GPT Audio and $8.75 for Nova Premier 1.0.
Choose GPT Audio when you care most about lower output-token price.
Choose Nova Premier 1.0 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GPT Audio is estimated at $7.5 vs $8.75 for Nova Premier 1.0, saving $1.25 (14.3% lower).
- GPT Audio is $1.25 cheaper on the standard workload (14.3% lower).
- Both models report the same input price at $2.5 per 1M tokens.
- GPT Audio is $2.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
- Nova Premier 1.0 has 872K more context (7.81x larger).
| Feature | GPT Audio (OpenAI) | Nova Premier 1.0 (Amazon) |
|---|---|---|
| Input Price prompt tokens per 1M | $2.5 | $2.5 |
| Completion Price per 1M tokens | $10 | $12.5 |
| Sample Workload Cost 1M input + 500K output | $7.5 | $8.75 |
| Context Window | 128K | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT Audio | On the standard 1M input plus 500K output workload, GPT Audio is estimated at $7.5 vs $8.75 for Nova Premier 1.0, saving $1.25 (14.3% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT Audio | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nova Premier 1.0 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT Audio when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT Audio when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT Audio when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT Audio when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
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Open OpenAI modelsAmazon catalog
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Open Amazon modelsThe gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.