Gemini 3.1 Pro vs Qwen Plus 0728 (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 Qwen Plus 0728 (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.
Qwen Plus 0728 (thinking)
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | Gemini 3.1 Pro | Qwen Plus 0728 (thinking) |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 2,000,000 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-09-08 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Qwen Plus 0728 (thinking)
$0.26
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Qwen Plus 0728 (thinking)
$0.78
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
Qwen Plus 0728 (thinking) Quirks & Gotchas
No developer gotchas reported.