gpt-oss-safeguard-20b vs o4 Mini Deep Research
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 o4 Mini Deep Research.
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...
o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | gpt-oss-safeguard-20b | o4 Mini Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 131,072 tokens | 200,000 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 | 2025-10-29 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-safeguard-20b
$0.07
o4 Mini Deep Research
$2.00
Output Price per Million Tokens
gpt-oss-safeguard-20b
$0.30
o4 Mini Deep Research
$8.00
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-safeguard-20b Quirks & Gotchas
No developer gotchas reported.
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.