GPT Audio vs Mistral Large 3 2512 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — full profile › · Mistral Large 3 2512 — 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 | Mistral Large 3 2512 | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 262K tokens | |
| Input price | $2.5/M | $0.5/M | |
| Output price | $10/M | $1.5/M | |
| Vision / multimodal | No | Yes | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Mistral Large 3 2512 is ~6.7× cheaper than GPT Audio on output tokens ($1.5 vs $10 per M tokens).
| Capability | GPT Audio | Mistral Large 3 2512 |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | GPT Audio | Mistral Large 3 2512 |
|---|---|---|
| Cost-efficiency | 3.5 | 4.5 |
| Context window | 3.5 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
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...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Mistral Large 3 2512 is cheaper on output ($1.5/M vs $10/M).
Mistral Large 3 2512 offers the larger context window (262K tokens).
Choose Mistral Large 3 2512 for the lower output price ($1.5/M vs $10/M). It also gives you the larger 262K context window.
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