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Gemini 3.1 Flash Lite vs Qwen3 VL 235B A22B

google/gemini-3.1-flash-lite · qwen/qwen3-vl-235b-a22b-instruct

As of November 6, 2026, Gemini 3.1 Flash Lite is the cheaper API on UberLLM: $0.0013 per million input tokens and $0.0080 per million output, versus $0.0021 / $0.0188 for Qwen3 VL 235B A22B, about 57% 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 Gemini 3.1 Flash Lite to cut cost; choose Qwen3 VL 235B A22B when its capabilities fit your task better.

Gemini 3.1 Flash Lite vs Qwen3 VL 235B A22B, side by side

SpecGemini 3.1 Flash LiteQwen3 VL 235B A22B
Price · input / 1M$0.0013$0.0021
Price · output / 1M$0.0080$0.0188
Context length1,048,576256,000
Max output tokens65,5368,000
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
% off list99.5% off99% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 6, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Gemini 3.1 Flash Lite vs Qwen3 VL 235B A22B — FAQ

Is Gemini 3.1 Flash Lite or Qwen3 VL 235B A22B cheaper?

Gemini 3.1 Flash Lite is cheaper on a blended token mix, by about 57%. 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 Gemini 3.1 Flash Lite and Qwen3 VL 235B A22B?

Gemini 3.1 Flash Lite: $0.0013 in / $0.0080 out per 1M tokens. Qwen3 VL 235B A22B: $0.0021 in / $0.0188 out per 1M tokens. That's roughly a 57% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 3.1 Flash Lite 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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