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Ministral 14B 3.0 vs Qwen3 VL 30B A3B

mistralai/ministral-3-14b-instruct · qwen/qwen3-vl-30b-a3b-thinking

As of November 5, 2026, Ministral 14B 3.0 is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0020 per million output, versus $0.1400 / $0.6300 for Qwen3 VL 30B A3B, 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 Ministral 14B 3.0 to cut cost; choose Qwen3 VL 30B A3B when its capabilities fit your task better.

Ministral 14B 3.0 vs Qwen3 VL 30B A3B, side by side

SpecMinistral 14B 3.0Qwen3 VL 30B A3B
Price · input / 1M$0.0020$0.1400
Price · output / 1M$0.0020$0.6300
Context length128,000128,000
Max output tokens8,0004,096
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
% off list99% off46.9% 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?

Ministral 14B 3.0 vs Qwen3 VL 30B A3B — FAQ

Is Ministral 14B 3.0 or Qwen3 VL 30B A3B cheaper?

Ministral 14B 3.0 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 Ministral 14B 3.0 and Qwen3 VL 30B A3B?

Ministral 14B 3.0: $0.0020 in / $0.0020 out per 1M tokens. Qwen3 VL 30B A3B: $0.1400 in / $0.6300 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Ministral 14B 3.0 and Qwen3 VL 30B A3B 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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