DeepSeek V4 Flash vs Qwen3.5-9B
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 DeepSeek V4 Flash and Qwen3.5-9B.
DeepSeek V4 Flash
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Technical Specifications
| Specification | DeepSeek V4 Flash | Qwen3.5-9B |
|---|---|---|
| Provider | DeepSeek | Alibaba |
| Context Window | 1,048,576 tokens | 262,144 tokens |
| Agent Suitability | 86/100 | N/A |
| Time to First Token (TTFT) | 120 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2026-03-10 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Flash
$0.09
Qwen3.5-9B
$0.10
Output Price per Million Tokens
DeepSeek V4 Flash
$0.18
Qwen3.5-9B
$0.15
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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.
DeepSeek V4 Flash Quirks & Gotchas
- โธBest cost-per-token ratio of any hosted API โ ideal for high-throughput pipelines
- โธLower agentic performance vs V4 Pro โ route complex tool calls accordingly
Qwen3.5-9B Quirks & Gotchas
No developer gotchas reported.