Gemini 3.1 Pro vs GPT-5 Mini
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-5 Mini.
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-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Technical Specifications
| Specification | Gemini 3.1 Pro | GPT-5 Mini |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 2,000,000 tokens | 400,000 tokens |
| Agent Suitability | 93/100 | 85/100 |
| Time to First Token (TTFT) | 420 ms | 180 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-08-07 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
GPT-5 Mini
$0.25
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
GPT-5 Mini
$2.00
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 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-5 Mini Quirks & Gotchas
- ▸Excellent for high-frequency classification and routing tasks
- ▸Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows