Gemini 3.5 Flash vs Qwen3 235B A22B Instruct 2507
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 235B A22B Instruct 2507.
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 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Technical Specifications
| Specification | Gemini 3.5 Flash | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| 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 | 2025-07-21 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Qwen3 235B A22B Instruct 2507
$0.09
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
Qwen3 235B A22B Instruct 2507
$0.10
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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
- โธExcellent multimodal performance โ native video understanding
- โธTool calling via Google's native function_declarations in Vertex AI
Qwen3 235B A22B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.