NewPoint any agent at UberLLM — one key, every model, list price or less.

MiniMax M2.1 vs GPT-OSS 20B

minimax/minimax-m2.1 · openai/gpt-oss-20b

As of October 31, 2026, GPT-OSS 20B is the cheaper API on UberLLM: $0.0000 per million input tokens and $0.0001 per million output, versus $0.0004 / $0.0014 for MiniMax M2.1, about 94% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT-OSS 20B to cut cost; choose MiniMax M2.1 when context size wins. MiniMax M2.1 carries the larger context window (198,000 vs 128,000 tokens), which can matter for long-document work.

MiniMax M2.1 vs GPT-OSS 20B, side by side

SpecMiniMax M2.1GPT-OSS 20B
Price · input / 1M$0.0004$0.0000
Price · output / 1M$0.0014$0.0001
Context length198,000128,000
Max output tokens32,76816,000
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYes—
% off list99.9% off99.9% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

MiniMax M2.1 vs GPT-OSS 20B — FAQ

Is MiniMax M2.1 or GPT-OSS 20B cheaper?

GPT-OSS 20B is cheaper on a blended token mix, by about 94%. 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 M2.1 and GPT-OSS 20B?

MiniMax M2.1: $0.0004 in / $0.0014 out per 1M tokens. GPT-OSS 20B: $0.0000 in / $0.0001 out per 1M tokens. That's roughly a 94% blended difference. Prices are live; UberLLM adds no fee.

Can I use both MiniMax M2.1 and GPT-OSS 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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