GPT Audio Paid vs 
Mistral Large Paid
GPT Audio vs Mistral Large compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — full profile › · Mistral Large — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$10 /M outputManaged API (no infra to run)
$6 /M outputManaged API (no infra to run)
GPT Audio vs Mistral Large specs
| Spec | GPT Audio | Mistral Large | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 128K tokens | = Tie |
| Input price | $2.5/M | $2/M | |
| Output price | $10/M | $6/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Price gap & when to choose each
Mistral Large is ~1.7× cheaper than GPT Audio on output tokens ($6 vs $10 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | GPT Audio | Mistral Large |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: GPT Audio vs Mistral Large
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How GPT Audio and Mistral Large score
| Criterion | GPT Audio | Mistral Large |
|---|---|---|
| Cost-efficiency | 3.5 | 4.0 |
| Context window | 3.5 | 3.5 |
| 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.
What each model is
GPT Audio Paid
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...
Mistral Large Paid
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news
Frequently asked questions
GPT Audio vs Mistral Large — which is cheaper?
Mistral Large is cheaper on output ($6/M vs $10/M).
Which has the larger context window?
GPT Audio offers the larger context window (128K tokens).
GPT Audio vs Mistral Large — which should I pick in 2026?
Choose Mistral Large for the lower output price ($6/M vs $10/M). Choose GPT Audio if you need the larger 128K context window.
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