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gpt-oss-safeguard-20b vs Qwen3.5-35B-A3B

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 Qwen3.5-35B-A3B.

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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Alibaba

Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

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Technical Specifications

Specificationgpt-oss-safeguard-20bQwen3.5-35B-A3B
ProviderOpenAIAlibaba
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-292026-02-25

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

Qwen3.5-35B-A3B

$0.14

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

Qwen3.5-35B-A3B

$1.00

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.

Qwen3.5-35B-A3B Quirks & Gotchas

No developer gotchas reported.