gpt-oss-safeguard-20b vs Qwen3 30B A3B Thinking 2507
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-safeguard-20b and Qwen3 30B A3B Thinking 2507.
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
Qwen3 30B A3B Thinking 2507
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
Technical Specifications
| Specification | gpt-oss-safeguard-20b | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Context Window | 131,072 tokens | 131,072 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 | 2025-10-29 | 2025-08-28 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-safeguard-20b
$0.07
Qwen3 30B A3B Thinking 2507
$0.13
Output Price per Million Tokens
gpt-oss-safeguard-20b
$0.30
Qwen3 30B A3B Thinking 2507
$1.56
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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-safeguard-20b Quirks & Gotchas
No developer gotchas reported.
Qwen3 30B A3B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.