gpt-oss-120b vs Qwen3.5 397B A17B
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-120b and Qwen3.5 397B A17B.
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Technical Specifications
| Specification | gpt-oss-120b | Qwen3.5 397B A17B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 131,072 tokens | 256,000 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 | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-05 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-120b
$0.03
Qwen3.5 397B A17B
$0.39
Output Price per Million Tokens
gpt-oss-120b
$0.15
Qwen3.5 397B A17B
$2.45
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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.
gpt-oss-120b Quirks & Gotchas
No developer gotchas reported.
Qwen3.5 397B A17B Quirks & Gotchas
No developer gotchas reported.