Gemini 3.5 Flash vs Qwen3 14B
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 Qwen3 14B.
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...
Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | Gemini 3.5 Flash | Qwen3 14B |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 1,048,576 tokens | 131,702 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Qwen3 14B
$0.10
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
Qwen3 14B
$0.24
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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 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
Qwen3 14B Quirks & Gotchas
No developer gotchas reported.