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GPT OSS Safeguard 20B vs Qwen 3.8 27B

openai/gpt-oss-safeguard-20b · qwen/qwen-3-8-27b

As of November 4, 2026, GPT OSS Safeguard 20B is the cheaper API on UberLLM: $0.0001 per million input tokens and $0.0003 per million output, versus $0.0002 / $0.0025 for Qwen 3.8 27B, about 87% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT OSS Safeguard 20B to cut cost; choose Qwen 3.8 27B when context size wins. Qwen 3.8 27B carries the larger context window (262,144 vs 128,000 tokens), which can matter for long-document work.

GPT OSS Safeguard 20B vs Qwen 3.8 27B, side by side

SpecGPT OSS Safeguard 20BQwen 3.8 27B
Price · input / 1M$0.0001$0.0002
Price · output / 1M$0.0003$0.0025
Context length128,000262,144
Max output tokens16,00065,536
Input modalitiestexttext, image, video
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
Reasoning—Yes
% off list99.9% off99.9% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

GPT OSS Safeguard 20B vs Qwen 3.8 27B — FAQ

Is GPT OSS Safeguard 20B or Qwen 3.8 27B cheaper?

GPT OSS Safeguard 20B is cheaper on a blended token mix, by about 87%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between GPT OSS Safeguard 20B and Qwen 3.8 27B?

GPT OSS Safeguard 20B: $0.0001 in / $0.0003 out per 1M tokens. Qwen 3.8 27B: $0.0002 in / $0.0025 out per 1M tokens. That's roughly a 87% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT OSS Safeguard 20B and Qwen 3.8 27B with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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