GPT Audio vs GPT-3.5 Turbo 16k compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — full profile › · GPT-3.5 Turbo 16k — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | GPT Audio | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Maker | OpenAI | OpenAI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 16K tokens | |
| Input price | $2.5/M | $3/M | |
| Output price | $10/M | $4/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
GPT-3.5 Turbo 16k is ~2.5× cheaper than GPT Audio on output tokens ($4 vs $10 per M tokens).
| Capability | GPT Audio | GPT-3.5 Turbo 16k |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
| Criterion | GPT Audio | GPT-3.5 Turbo 16k |
|---|---|---|
| Cost-efficiency | 3.5 | 4.0 |
| Context window | 3.5 | 2.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
The 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...
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
GPT-3.5 Turbo 16k is cheaper on output ($4/M vs $10/M).
GPT Audio offers the larger context window (128K tokens).
Choose GPT-3.5 Turbo 16k for the lower output price ($4/M vs $10/M). Choose GPT Audio if you need the larger 128K context window.
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