GLM 4.6 vs gpt-oss-safeguard-20b
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 GLM 4.6 and gpt-oss-safeguard-20b.
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
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...
Technical Specifications
| Specification | GLM 4.6 | gpt-oss-safeguard-20b |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 202,752 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-09-30 | 2025-10-29 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6
$0.43
gpt-oss-safeguard-20b
$0.07
Output Price per Million Tokens
GLM 4.6
$1.74
gpt-oss-safeguard-20b
$0.30
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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.
GLM 4.6 Quirks & Gotchas
No developer gotchas reported.
gpt-oss-safeguard-20b Quirks & Gotchas
No developer gotchas reported.