gpt-oss-20b vs Qwen3.5-27B
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 gpt-oss-20b and Qwen3.5-27B.
gpt-oss-20b
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
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...
Technical Specifications
| Specification | gpt-oss-20b | Qwen3.5-27B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-05 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-20b
$0.03
Qwen3.5-27B
$0.20
Output Price per Million Tokens
gpt-oss-20b
$0.14
Qwen3.5-27B
$1.56
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.
gpt-oss-20b Quirks & Gotchas
No developer gotchas reported.
Qwen3.5-27B Quirks & Gotchas
No developer gotchas reported.