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gpt-oss-safeguard-20b vs Llama 3.1 8B Instruct

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 Llama 3.1 8B Instruct.

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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Meta

Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

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Technical Specifications

Specificationgpt-oss-safeguard-20bLlama 3.1 8B Instruct
ProviderOpenAIMeta
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-292024-07-23

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

Llama 3.1 8B Instruct

$0.02

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

Llama 3.1 8B Instruct

$0.03

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.

Llama 3.1 8B Instruct Quirks & Gotchas

No developer gotchas reported.