Gemini 3.5 Flash vs Qwen3 Max 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 3.5 Flash and Qwen3 Max Thinking.
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 Max Thinking
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
Technical Specifications
| Specification | Gemini 3.5 Flash | Qwen3 Max Thinking |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 1,048,576 tokens | 262,144 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 | 2026-02-09 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Qwen3 Max Thinking
$0.78
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
Qwen3 Max Thinking
$3.90
Want to test both models live?
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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 Max Thinking Quirks & Gotchas
No developer gotchas reported.