Gemini 3.1 Pro vs GPT Audio
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 Gemini 3.1 Pro and GPT Audio.
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
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...
Technical Specifications
| Specification | Gemini 3.1 Pro | GPT Audio |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Agent Suitability | 93/100 | N/A |
| Time to First Token (TTFT) | 420 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2026-01-19 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
GPT Audio
$2.50
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
GPT Audio
$10.00
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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.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio
GPT Audio Quirks & Gotchas
No developer gotchas reported.