Qwen3.5-Flash vs Step 3.7 Flash
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 Qwen3.5-Flash and Step 3.7 Flash.
Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Step 3.7 Flash
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Technical Specifications
| Specification | Qwen3.5-Flash | Step 3.7 Flash |
|---|---|---|
| Provider | Alibaba | StepFun |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-25 | 2026-05-28 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3.5-Flash
$0.07
Step 3.7 Flash
$0.20
Output Price per Million Tokens
Qwen3.5-Flash
$0.26
Step 3.7 Flash
$1.15
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.
Qwen3.5-Flash Quirks & Gotchas
No developer gotchas reported.
Step 3.7 Flash Quirks & Gotchas
No developer gotchas reported.