GPT Audio vs Mistral Small 3
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT Audio and Mistral Small 3.
GPT Audio
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 Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Technical Specifications
| Specification | GPT Audio | Mistral Small 3 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 128,000 tokens | 32,768 tokens |
| Agent Suitability | N/A | 84/100 |
| Time to First Token (TTFT) | N/A | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-19 | 2025-01-30 |
API Pricing Comparison
Input Price per Million Tokens
GPT Audio
$2.50
Mistral Small 3
$0.07
Output Price per Million Tokens
GPT Audio
$10.00
Mistral Small 3
$0.20
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT Audio Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3