Gemini 3.5 Flash vs GPT-4o-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 3.5 Flash and GPT-4o-mini.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Technical Specifications
| Specification | Gemini 3.5 Flash | GPT-4o-mini |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Agent Suitability | 88/100 | 82/100 |
| Time to First Token (TTFT) | 200 ms | 150 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2024-07-18 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
GPT-4o-mini
$0.15
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
GPT-4o-mini
$0.60
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 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
GPT-4o-mini Quirks & Gotchas
- ▸Ultra-low latency — best TTFT in the OpenAI lineup
- ▸Tool calling limited to single-step — not suitable for complex agentic pipelines