Gemini 2.5 Pro vs GPT-3.5 Turbo 16k
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 GPT-3.5 Turbo 16k.
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...
GPT-3.5 Turbo 16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Technical Specifications
| Specification | Gemini 2.5 Pro | GPT-3.5 Turbo 16k |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 1,048,576 tokens | 16,385 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2023-08-28 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
GPT-3.5 Turbo 16k
$3.00
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
GPT-3.5 Turbo 16k
$4.00
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 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.