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gpt-oss-safeguard-20b vs o3 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 o3 Deep Research.

OpenAI

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...

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OpenAI

o3 Deep Research

o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

Specificationgpt-oss-safeguard-20bo3 Deep Research
ProviderOpenAIOpenAI
Context Window131,072 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-292025-10-10

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

o3 Deep Research

$10.00

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

o3 Deep Research

$40.00

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.

o3 Deep Research Quirks & Gotchas

No developer gotchas reported.