Gemini 2.5 Pro vs Mistral Small 3.1 24B
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 2.5 Pro and Mistral Small 3.1 24B.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Technical Specifications
| Specification | Gemini 2.5 Pro | Mistral Small 3.1 24B |
|---|---|---|
| Provider | Mistral | |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-03-17 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
Mistral Small 3.1 24B
$0.35
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
Mistral Small 3.1 24B
$0.56
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
Mistral Small 3.1 24B Quirks & Gotchas
No developer gotchas reported.