Gemini 3.1 Pro vs Voxtral Small 24B 2507
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 Voxtral Small 24B 2507.
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.
Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...
Technical Specifications
| Specification | Gemini 3.1 Pro | Voxtral Small 24B 2507 |
|---|---|---|
| Provider | Mistral | |
| Context Window | 2,000,000 tokens | 32,000 tokens |
| Agent Suitability | 93/100 | N/A |
| Time to First Token (TTFT) | 420 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-10-30 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Voxtral Small 24B 2507
$0.10
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Voxtral Small 24B 2507
$0.30
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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
Voxtral Small 24B 2507 Quirks & Gotchas
No developer gotchas reported.