Gemini 3.1 Pro vs Qwen3.5 397B A17B
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 Qwen3.5 397B A17B.
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.
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | Gemini 3.1 Pro | Qwen3.5 397B A17B |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 2,000,000 tokens | 256,000 tokens |
| Agent Suitability | 93/100 | N/A |
| Time to First Token (TTFT) | 420 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Qwen3.5 397B A17B
$2.45
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
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.