Gemini 3.1 Pro vs Qwen3 VL 30B A3B Thinking
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 VL 30B A3B Thinking.
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 VL 30B A3B Thinking
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...
Technical Specifications
| Specification | Gemini 3.1 Pro | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 2,000,000 tokens | 131,072 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 | 2025-10-06 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Qwen3 VL 30B A3B Thinking
$0.13
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Qwen3 VL 30B A3B Thinking
$1.56
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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 3.1 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 VL 30B A3B Thinking Quirks & Gotchas
No developer gotchas reported.