gpt-oss-20b vs Qwen Plus 0728
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 Qwen Plus 0728.
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...
Qwen Plus 0728
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | gpt-oss-20b | Qwen Plus 0728 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 131,072 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-05 | 2025-09-08 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-20b
$0.03
Qwen Plus 0728
$0.26
Output Price per Million Tokens
gpt-oss-20b
$0.14
Qwen Plus 0728
$0.78
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.
Qwen Plus 0728 Quirks & Gotchas
No developer gotchas reported.