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MiniMax M2.1 vs Qwen3 VL 235B A22B

minimax/minimax-m2.1 · qwen/qwen3-vl-235b-a22b-instruct

As of November 5, 2026, MiniMax M2.1 is the cheaper API on UberLLM: $0.0004 per million input tokens and $0.0014 per million output, versus $0.0021 / $0.0188 for Qwen3 VL 235B A22B, about 92% 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 MiniMax M2.1 to cut cost; choose Qwen3 VL 235B A22B when context size wins. Qwen3 VL 235B A22B carries the larger context window (256,000 vs 198,000 tokens), which can matter for long-document work.

MiniMax M2.1 vs Qwen3 VL 235B A22B, side by side

SpecMiniMax M2.1Qwen3 VL 235B A22B
Price · input / 1M$0.0004$0.0021
Price · output / 1M$0.0014$0.0188
Context length198,000256,000
Max output tokens32,7688,000
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
ReasoningYes—
% off list99.9% off99% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

MiniMax M2.1 vs Qwen3 VL 235B A22B — FAQ

Is MiniMax M2.1 or Qwen3 VL 235B A22B cheaper?

MiniMax M2.1 is cheaper on a blended token mix, by about 92%. 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 Qwen3 VL 235B A22B?

MiniMax M2.1: $0.0004 in / $0.0014 out per 1M tokens. Qwen3 VL 235B A22B: $0.0021 in / $0.0188 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.

Can I use both MiniMax M2.1 and Qwen3 VL 235B A22B 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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