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MiniMax M3 vs GPT OSS Safeguard 20B

minimax/minimax-m3 · openai/gpt-oss-safeguard-20b

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 $0.0296 / $0.1185 for MiniMax M3, about 100% 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 MiniMax M3 when context size wins. MiniMax M3 carries the larger context window (200,000 vs 128,000 tokens), which can matter for long-document work.

MiniMax M3 vs GPT OSS Safeguard 20B, side by side

SpecMiniMax M3GPT OSS Safeguard 20B
Price · input / 1M$0.0296$0.0001
Price · output / 1M$0.1185$0.0003
Context length200,000128,000
Max output tokens32,76816,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
% off list90.1% 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?

MiniMax M3 vs GPT OSS Safeguard 20B — FAQ

Is MiniMax M3 or GPT OSS Safeguard 20B cheaper?

GPT OSS Safeguard 20B is cheaper on a blended token mix, by about 100%. 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 MiniMax M3 and GPT OSS Safeguard 20B?

MiniMax M3: $0.0296 in / $0.1185 out per 1M tokens. GPT OSS Safeguard 20B: $0.0001 in / $0.0003 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both MiniMax M3 and GPT OSS Safeguard 20B 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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