Qwen3.5-27B vs Qwen3.5 Plus 2026-02-15
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 Qwen3.5-27B and Qwen3.5 Plus 2026-02-15.
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
Qwen3.5 Plus 2026-02-15
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Technical Specifications
| Specification | Qwen3.5-27B | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 262,144 tokens | 1,000,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2026-02-25 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3.5-27B
$0.20
Qwen3.5 Plus 2026-02-15
$0.26
Output Price per Million Tokens
Qwen3.5-27B
$1.56
Qwen3.5 Plus 2026-02-15
$1.56
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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.
Qwen3.5-27B Quirks & Gotchas
No developer gotchas reported.
Qwen3.5 Plus 2026-02-15 Quirks & Gotchas
No developer gotchas reported.