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Gemma 4 26B A4B 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 Gemma 4 26B A4B and gpt-oss-safeguard-20b.

Google

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference โ€” delivering near-31B quality at...

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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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Technical Specifications

SpecificationGemma 4 26B A4Bgpt-oss-safeguard-20b
ProviderGoogleOpenAI
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032025-10-29

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

gpt-oss-safeguard-20b

$0.07

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

gpt-oss-safeguard-20b

$0.30

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.

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

gpt-oss-safeguard-20b Quirks & Gotchas

No developer gotchas reported.